---
_id: '48269'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On the Integration of Sampling
Rate Synchronization and Acoustic Beamforming. In: European Signal Processing
Conference (EUSIPCO). ; 2023.'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2023). On the Integration
of Sampling Rate Synchronization and Acoustic Beamforming. European Signal
Processing Conference (EUSIPCO). European Signal Processing Conference (EUSIPCO),
Helsinki.
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={On the
Integration of Sampling Rate Synchronization and Acoustic Beamforming}, booktitle={European
Signal Processing Conference (EUSIPCO)}, author={Gburrek, Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2023} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On the
Integration of Sampling Rate Synchronization and Acoustic Beamforming.” In European
Signal Processing Conference (EUSIPCO), 2023.
ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On the Integration of
Sampling Rate Synchronization and Acoustic Beamforming,” presented at the European
Signal Processing Conference (EUSIPCO), Helsinki, 2023.
mla: Gburrek, Tobias, et al. “On the Integration of Sampling Rate Synchronization
and Acoustic Beamforming.” European Signal Processing Conference (EUSIPCO),
2023.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: European Signal Processing
Conference (EUSIPCO), 2023.'
conference:
location: Helsinki
name: European Signal Processing Conference (EUSIPCO)
date_created: 2023-10-18T12:54:08Z
date_updated: 2023-10-26T08:16:23Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eurasip.org/Proceedings/Eusipco/Eusipco2023/pdfs/0000011.pdf
oa: '1'
publication: European Signal Processing Conference (EUSIPCO)
quality_controlled: '1'
status: public
title: On the Integration of Sampling Rate Synchronization and Acoustic Beamforming
type: conference
user_id: '460'
year: '2023'
...
---
_id: '48270'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Gburrek T, Haeb-Umbach R. LibriWASN: A Data Set for Meeting
Separation, Diarization, and Recognition with Asynchronous Recording Devices.
In: ITG Conference on Speech Communication. ; 2023.'
apa: 'Schmalenstroeer, J., Gburrek, T., & Haeb-Umbach, R. (2023). LibriWASN:
A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous
Recording Devices. ITG Conference on Speech Communication. ITG Conference
on Speech Communication, Aachen.'
bibtex: '@inproceedings{Schmalenstroeer_Gburrek_Haeb-Umbach_2023, title={LibriWASN:
A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous
Recording Devices}, booktitle={ITG Conference on Speech Communication}, author={Schmalenstroeer,
Joerg and Gburrek, Tobias and Haeb-Umbach, Reinhold}, year={2023} }'
chicago: 'Schmalenstroeer, Joerg, Tobias Gburrek, and Reinhold Haeb-Umbach. “LibriWASN:
A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous
Recording Devices.” In ITG Conference on Speech Communication, 2023.'
ieee: 'J. Schmalenstroeer, T. Gburrek, and R. Haeb-Umbach, “LibriWASN: A Data Set
for Meeting Separation, Diarization, and Recognition with Asynchronous Recording
Devices,” presented at the ITG Conference on Speech Communication, Aachen, 2023.'
mla: 'Schmalenstroeer, Joerg, et al. “LibriWASN: A Data Set for Meeting Separation,
Diarization, and Recognition with Asynchronous Recording Devices.” ITG Conference
on Speech Communication, 2023.'
short: 'J. Schmalenstroeer, T. Gburrek, R. Haeb-Umbach, in: ITG Conference on Speech
Communication, 2023.'
conference:
location: Aachen
name: ITG Conference on Speech Communication
date_created: 2023-10-18T13:00:54Z
date_updated: 2023-11-15T14:48:45Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: schmalen
date_created: 2023-10-26T08:20:15Z
date_updated: 2023-11-15T14:48:44Z
file_id: '48483'
file_name: SchTgbHaeb2023Final.pdf
file_size: 2844502
relation: main_file
file_date_updated: 2023-11-15T14:48:44Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: ITG Conference on Speech Communication
quality_controlled: '1'
status: public
title: 'LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition
with Asynchronous Recording Devices'
type: conference
user_id: '460'
year: '2023'
...
---
_id: '49109'
abstract:
- lang: eng
text: "We propose a diarization system, that estimates “who spoke when” based on
spatial information, to be used as a front-end of a meeting transcription system
running on the signals gathered from an acoustic sensor network (ASN). Although
the\r\nspatial distribution of the microphones is advantageous, exploiting the
spatial diversity for diarization and signal enhancement is challenging, because
the microphones’ positions are typically unknown, and the recorded signals are
initially unsynchronized in general. Here, we approach these issues by first blindly
synchronizing the signals and then estimating time differences of arrival (TDOAs).
The TDOA information is exploited to estimate the speakers’ activity, even in
the presence of multiple speakers being simultaneously active. This speaker activity
information serves as a guide for a spatial mixture model, on which basis the
individual speaker’s signals are extracted via beamforming. Finally, the extracted
signals are forwarded to a speech recognizer. Additionally, a novel initialization
scheme for spatial mixture models based on the TDOA estimates is proposed. Experiments
conducted on real recordings from the LibriWASN data set have shown that our proposed
system is advantageous compared to a system using a spatial mixture model, which
does not make use\r\nof external diarization information."
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Spatial Diarization for Meeting
Transcription with Ad-Hoc Acoustic Sensor Networks. In: Proc. Asilomar Conference
on Signals, Systems, and Computers. ; 2023.'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2023). Spatial Diarization
for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. Proc. Asilomar
Conference on Signals, Systems, and Computers. 57th Asilomar Conference on
Signals, Systems, and Computers.
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={Spatial
Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks}, booktitle={Proc.
Asilomar Conference on Signals, Systems, and Computers}, author={Gburrek, Tobias
and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2023} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Spatial
Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks.” In
Proc. Asilomar Conference on Signals, Systems, and Computers, 2023.
ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for
Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the
57th Asilomar Conference on Signals, Systems, and Computers, 2023.
mla: Gburrek, Tobias, et al. “Spatial Diarization for Meeting Transcription with
Ad-Hoc Acoustic Sensor Networks.” Proc. Asilomar Conference on Signals, Systems,
and Computers, 2023.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Proc. Asilomar Conference
on Signals, Systems, and Computers, 2023.'
conference:
end_date: 2023-11-01
name: 57th Asilomar Conference on Signals, Systems, and Computers
start_date: 2023-10-31
date_created: 2023-11-22T07:52:29Z
date_updated: 2023-11-22T07:58:49Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: schmalen
date_created: 2023-11-22T07:51:18Z
date_updated: 2023-11-22T07:58:49Z
file_id: '49110'
file_name: asilomar.pdf
file_size: 212317
relation: main_file
file_date_updated: 2023-11-22T07:58:49Z
has_accepted_license: '1'
keyword:
- Diarization
- time difference of arrival
- ad-hoc acoustic sensor network
- meeting transcription
language:
- iso: eng
oa: '1'
publication: Proc. Asilomar Conference on Signals, Systems, and Computers
quality_controlled: '1'
status: public
title: Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2023'
...
---
_id: '33471'
abstract:
- lang: eng
text: "The intelligibility of demodulated audio signals from analog high frequency
transmissions, e.g., using single-sideband\r\n(SSB) modulation, can be severely
degraded by channel distortions and/or a mismatch between modulation and demodulation
carrier frequency. In this work a neural network (NN)-based approach for carrier
frequency offset (CFO) estimation from demodulated SSB signals is proposed, whereby
a task specific architecture is presented. Additionally, a simulation framework
for SSB signals is introduced and utilized for training the NNs. The CFO estimator
is combined with a speech enhancement network to investigate its influence on
the enhancement performance. The NN-based system is compared to a recently proposed
pitch tracking based approach on publicly available data from real high frequency
transmissions. Experiments show that the NN exhibits good CFO estimation properties
and results in significant improvements in speech intelligibility, especially
when combined with a noise reduction network."
author:
- first_name: Jens
full_name: Heitkämper, Jens
id: '27643'
last_name: Heitkämper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkämper J, Schmalenstroeer J, Haeb-Umbach R. Neural Network Based Carrier
Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.
In: Proceedings of the 30th European Signal Processing Conference (EUSIPCO).'
apa: Heitkämper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (n.d.). Neural Network
Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency
Channels. Proceedings of the 30th European Signal Processing Conference (EUSIPCO).
30th European Signal Processing Conference (EUSIPCO), Belgrad.
bibtex: '@inproceedings{Heitkämper_Schmalenstroeer_Haeb-Umbach, place={Belgrad},
title={Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted
Over High Frequency Channels}, booktitle={Proceedings of the 30th European Signal
Processing Conference (EUSIPCO)}, author={Heitkämper, Jens and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold} }'
chicago: Heitkämper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Neural
Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over
High Frequency Channels.” In Proceedings of the 30th European Signal Processing
Conference (EUSIPCO). Belgrad, n.d.
ieee: J. Heitkämper, J. Schmalenstroeer, and R. Haeb-Umbach, “Neural Network Based
Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency
Channels,” presented at the 30th European Signal Processing Conference (EUSIPCO),
Belgrad.
mla: Heitkämper, Jens, et al. “Neural Network Based Carrier Frequency Offset Estimation
From Speech Transmitted Over High Frequency Channels.” Proceedings of the 30th
European Signal Processing Conference (EUSIPCO).
short: 'J. Heitkämper, J. Schmalenstroeer, R. Haeb-Umbach, in: Proceedings of the
30th European Signal Processing Conference (EUSIPCO), Belgrad, n.d.'
conference:
end_date: 2022-09-02
location: Belgrad
name: 30th European Signal Processing Conference (EUSIPCO)
start_date: 2022-08-29
date_created: 2022-09-22T10:56:13Z
date_updated: 2023-10-26T08:15:57Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: jensheit
date_created: 2022-09-22T10:48:31Z
date_updated: 2022-09-22T10:48:31Z
file_id: '33472'
file_name: cfo.pdf
file_size: 1231379
relation: main_file
success: 1
file_date_updated: 2022-09-22T10:48:31Z
has_accepted_license: '1'
language:
- iso: eng
place: Belgrad
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 30th European Signal Processing Conference (EUSIPCO)
publication_status: accepted
quality_controlled: '1'
status: public
title: Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted
Over High Frequency Channels
type: conference
user_id: '460'
year: '2022'
...
---
_id: '33806'
author:
- first_name: Haitham
full_name: Afifi, Haitham
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Afifi H, Karl H, Gburrek T, Schmalenstroeer J. Data-driven Time Synchronization
in Wireless Multimedia Networks. In: 2022 International Wireless Communications
and Mobile Computing (IWCMC). IEEE; 2022. doi:10.1109/iwcmc55113.2022.9824980'
apa: Afifi, H., Karl, H., Gburrek, T., & Schmalenstroeer, J. (2022). Data-driven
Time Synchronization in Wireless Multimedia Networks. 2022 International Wireless
Communications and Mobile Computing (IWCMC). https://doi.org/10.1109/iwcmc55113.2022.9824980
bibtex: '@inproceedings{Afifi_Karl_Gburrek_Schmalenstroeer_2022, title={Data-driven
Time Synchronization in Wireless Multimedia Networks}, DOI={10.1109/iwcmc55113.2022.9824980},
booktitle={2022 International Wireless Communications and Mobile Computing (IWCMC)},
publisher={IEEE}, author={Afifi, Haitham and Karl, Holger and Gburrek, Tobias
and Schmalenstroeer, Joerg}, year={2022} }'
chicago: Afifi, Haitham, Holger Karl, Tobias Gburrek, and Joerg Schmalenstroeer.
“Data-Driven Time Synchronization in Wireless Multimedia Networks.” In 2022
International Wireless Communications and Mobile Computing (IWCMC). IEEE,
2022. https://doi.org/10.1109/iwcmc55113.2022.9824980.
ieee: 'H. Afifi, H. Karl, T. Gburrek, and J. Schmalenstroeer, “Data-driven Time
Synchronization in Wireless Multimedia Networks,” 2022, doi: 10.1109/iwcmc55113.2022.9824980.'
mla: Afifi, Haitham, et al. “Data-Driven Time Synchronization in Wireless Multimedia
Networks.” 2022 International Wireless Communications and Mobile Computing
(IWCMC), IEEE, 2022, doi:10.1109/iwcmc55113.2022.9824980.
short: 'H. Afifi, H. Karl, T. Gburrek, J. Schmalenstroeer, in: 2022 International
Wireless Communications and Mobile Computing (IWCMC), IEEE, 2022.'
date_created: 2022-10-18T09:24:17Z
date_updated: 2023-10-26T08:16:07Z
department:
- _id: '54'
doi: 10.1109/iwcmc55113.2022.9824980
language:
- iso: eng
publication: 2022 International Wireless Communications and Mobile Computing (IWCMC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Data-driven Time Synchronization in Wireless Multimedia Networks
type: conference
user_id: '460'
year: '2022'
...
---
_id: '33807'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Synchronization of Wireless
Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets
and Speaker Changes. In: ICASSP 2022 - 2022 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9746284'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2022). On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes. ICASSP 2022 - 2022 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9746284
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2022, title={On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes}, DOI={10.1109/icassp43922.2022.9746284},
booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Gburrek, Tobias and
Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2022} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes.” In ICASSP 2022 - 2022 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
https://doi.org/10.1109/icassp43922.2022.9746284.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Synchronization of
Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate
Offsets and Speaker Changes,” 2022, doi: 10.1109/icassp43922.2022.9746284.'
mla: Gburrek, Tobias, et al. “On Synchronization of Wireless Acoustic Sensor Networks
in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes.” ICASSP
2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746284.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2022 - 2022 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, 2022.'
date_created: 2022-10-18T09:25:51Z
date_updated: 2023-11-17T06:39:28Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.1109/icassp43922.2022.9746284
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:39:04Z
date_updated: 2023-11-17T06:39:04Z
file_id: '48990'
file_name: gburrek_icassp22.pdf
file_size: 358015
relation: main_file
file_date_updated: 2023-11-17T06:39:04Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: On Synchronization of Wireless Acoustic Sensor Networks in the Presence of
Time-Varying Sampling Rate Offsets and Speaker Changes
type: conference
user_id: '44006'
year: '2022'
...
---
_id: '33808'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Heitkaemper J, Haeb-Umbach R. Informed vs. Blind
Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription. In:
2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE;
2022. doi:10.1109/IWAENC53105.2022.9914772'
apa: Gburrek, T., Schmalenstroeer, J., Heitkaemper, J., & Haeb-Umbach, R. (2022).
Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting
Transcription. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC).
17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg,
Germany . https://doi.org/10.1109/IWAENC53105.2022.9914772
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Heitkaemper_Haeb-Umbach_2022, title={Informed
vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription},
DOI={10.1109/IWAENC53105.2022.9914772},
booktitle={2022 International Workshop on Acoustic Signal Enhancement (IWAENC)},
publisher={IEEE}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Heitkaemper,
Jens and Haeb-Umbach, Reinhold}, year={2022} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, Jens Heitkaemper, and Reinhold
Haeb-Umbach. “Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks
for Meeting Transcription.” In 2022 International Workshop on Acoustic Signal
Enhancement (IWAENC). IEEE, 2022. https://doi.org/10.1109/IWAENC53105.2022.9914772.
ieee: 'T. Gburrek, J. Schmalenstroeer, J. Heitkaemper, and R. Haeb-Umbach, “Informed
vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription,”
presented at the 17th International Workshop on Acoustic Signal Enhancement (IWAENC
2022), Bamberg, Germany , 2022, doi: 10.1109/IWAENC53105.2022.9914772.'
mla: Gburrek, Tobias, et al. “Informed vs. Blind Beamforming in Ad-Hoc Acoustic
Sensor Networks for Meeting Transcription.” 2022 International Workshop on
Acoustic Signal Enhancement (IWAENC), IEEE, 2022, doi:10.1109/IWAENC53105.2022.9914772.
short: 'T. Gburrek, J. Schmalenstroeer, J. Heitkaemper, R. Haeb-Umbach, in: 2022
International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022.'
conference:
end_date: 2022-09-08
location: ' Bamberg, Germany '
name: 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022)
start_date: 2022-09-05
date_created: 2022-10-18T09:30:24Z
date_updated: 2023-11-17T06:40:58Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.1109/IWAENC53105.2022.9914772
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:40:40Z
date_updated: 2023-11-17T06:40:40Z
file_id: '48991'
file_name: iwaenc_22_camera_ready_ieee_check.pdf
file_size: 266475
relation: main_file
file_date_updated: 2023-11-17T06:40:40Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
publisher: IEEE
quality_controlled: '1'
status: public
title: Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting
Transcription
type: conference
user_id: '44006'
year: '2022'
...
---
_id: '33816'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Thilo
full_name: von Neumann, Thilo
id: '49870'
last_name: von Neumann
orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Tobias
full_name: Cord-Landwehr, Tobias
id: '44393'
last_name: Cord-Landwehr
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Gburrek T, Boeddeker C, von Neumann T, Cord-Landwehr T, Schmalenstroeer J,
Haeb-Umbach R. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
Network. arXiv; 2022. doi:10.48550/ARXIV.2205.00944
apa: Gburrek, T., Boeddeker, C., von Neumann, T., Cord-Landwehr, T., Schmalenstroeer,
J., & Haeb-Umbach, R. (2022). A Meeting Transcription System for an Ad-Hoc
Acoustic Sensor Network. arXiv. https://doi.org/10.48550/ARXIV.2205.00944
bibtex: '@book{Gburrek_Boeddeker_von Neumann_Cord-Landwehr_Schmalenstroeer_Haeb-Umbach_2022,
title={A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network},
DOI={10.48550/ARXIV.2205.00944},
publisher={arXiv}, author={Gburrek, Tobias and Boeddeker, Christoph and von Neumann,
Thilo and Cord-Landwehr, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold},
year={2022} }'
chicago: Gburrek, Tobias, Christoph Boeddeker, Thilo von Neumann, Tobias Cord-Landwehr,
Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A Meeting Transcription System
for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022. https://doi.org/10.48550/ARXIV.2205.00944.
ieee: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer,
and R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
Network. arXiv, 2022.
mla: Gburrek, Tobias, et al. A Meeting Transcription System for an Ad-Hoc Acoustic
Sensor Network. arXiv, 2022, doi:10.48550/ARXIV.2205.00944.
short: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer,
R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network,
arXiv, 2022.
date_created: 2022-10-18T11:10:58Z
date_updated: 2023-11-17T06:42:16Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.48550/ARXIV.2205.00944
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:42:04Z
date_updated: 2023-11-17T06:42:04Z
file_id: '48992'
file_name: meeting_transcription_22.pdf
file_size: 199006
relation: main_file
file_date_updated: 2023-11-17T06:42:04Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publisher: arXiv
status: public
title: A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
type: misc
user_id: '44006'
year: '2022'
...
---
_id: '24000'
author:
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Valentin
full_name: Ion, Valentin
last_name: Ion
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkaemper J, Schmalenstroeer J, Ion V, Haeb-Umbach R. A Database for Research
on Detection and Enhancement of Speech Transmitted over HF links. In: Speech
Communication; 14th ITG-Symposium. ; 2021:1-5.'
apa: Heitkaemper, J., Schmalenstroeer, J., Ion, V., & Haeb-Umbach, R. (2021).
A Database for Research on Detection and Enhancement of Speech Transmitted over
HF links. Speech Communication; 14th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Ion_Haeb-Umbach_2021, title={A
Database for Research on Detection and Enhancement of Speech Transmitted over
HF links}, booktitle={Speech Communication; 14th ITG-Symposium}, author={Heitkaemper,
Jens and Schmalenstroeer, Joerg and Ion, Valentin and Haeb-Umbach, Reinhold},
year={2021}, pages={1–5} }'
chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, Valentin Ion, and Reinhold Haeb-Umbach.
“A Database for Research on Detection and Enhancement of Speech Transmitted over
HF Links.” In Speech Communication; 14th ITG-Symposium, 1–5, 2021.
ieee: J. Heitkaemper, J. Schmalenstroeer, V. Ion, and R. Haeb-Umbach, “A Database
for Research on Detection and Enhancement of Speech Transmitted over HF links,”
in Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.
mla: Heitkaemper, Jens, et al. “A Database for Research on Detection and Enhancement
of Speech Transmitted over HF Links.” Speech Communication; 14th ITG-Symposium,
2021, pp. 1–5.
short: 'J. Heitkaemper, J. Schmalenstroeer, V. Ion, R. Haeb-Umbach, in: Speech Communication;
14th ITG-Symposium, 2021, pp. 1–5.'
date_created: 2021-09-09T08:41:25Z
date_updated: 2023-10-26T08:06:57Z
department:
- _id: '54'
language:
- iso: eng
page: 1-5
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Speech Communication; 14th ITG-Symposium
quality_controlled: '1'
status: public
title: A Database for Research on Detection and Enhancement of Speech Transmitted
over HF links
type: conference
user_id: '460'
year: '2021'
...
---
_id: '23998'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Ullmann, Joerg
id: '16256'
last_name: Ullmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch
Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.
In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.'
apa: Schmalenstroeer, J., Heitkaemper, J., Ullmann, J., & Haeb-Umbach, R. (2021).
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF
Transmitted Speech. 29th European Signal Processing Conference (EUSIPCO),
1–5.
bibtex: '@inproceedings{Schmalenstroeer_Heitkaemper_Ullmann_Haeb-Umbach_2021, title={Open
Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted
Speech}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Schmalenstroeer,
Joerg and Heitkaemper, Jens and Ullmann, Joerg and Haeb-Umbach, Reinhold}, year={2021},
pages={1–5} }'
chicago: Schmalenstroeer, Joerg, Jens Heitkaemper, Joerg Ullmann, and Reinhold Haeb-Umbach.
“Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF
Transmitted Speech.” In 29th European Signal Processing Conference (EUSIPCO),
1–5, 2021.
ieee: J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, and R. Haeb-Umbach, “Open
Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted
Speech,” in 29th European Signal Processing Conference (EUSIPCO), 2021,
pp. 1–5.
mla: Schmalenstroeer, Joerg, et al. “Open Range Pitch Tracking for Carrier Frequency
Difference Estimation from HF Transmitted Speech.” 29th European Signal Processing
Conference (EUSIPCO), 2021, pp. 1–5.
short: 'J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, R. Haeb-Umbach, in: 29th
European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.'
date_created: 2021-09-09T08:40:04Z
date_updated: 2023-11-15T14:56:38Z
department:
- _id: '54'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2103.01599
oa: '1'
page: 1-5
publication: 29th European Signal Processing Conference (EUSIPCO)
status: public
title: Open Range Pitch Tracking for Carrier Frequency Difference Estimation from
HF Transmitted Speech
type: conference
user_id: '460'
year: '2021'
...
---
_id: '22528'
abstract:
- lang: eng
text: Due to the ad hoc nature of wireless acoustic sensor networks, the position
of the sensor nodes is typically unknown. This contribution proposes a technique
to estimate the position and orientation of the sensor nodes from the recorded
speech signals. The method assumes that a node comprises a microphone array with
synchronously sampled microphones rather than a single microphone, but does not
require the sampling clocks of the nodes to be synchronized. From the observed
audio signals, the distances between the acoustic sources and arrays, as well
as the directions of arrival, are estimated. They serve as input to a non-linear
least squares problem, from which both the sensor nodes’ positions and orientations,
as well as the source positions, are alternatingly estimated in an iterative process.
Given one set of unknowns, i.e., either the source positions or the sensor nodes’
geometry, the other set of unknowns can be computed in closed-form. The proposed
approach is computationally efficient and the first one, which employs both distance
and directional information for geometry calibration in a common cost function.
Since both distance and direction of arrival measurements suffer from outliers,
e.g., caused by strong reflections of the sound waves on the surfaces of the room,
we introduce measures to deemphasize or remove unreliable measurements. Additionally,
we discuss modifications of our previously proposed deep neural network-based
acoustic distance estimator, to account not only for omnidirectional sources but
also for directional sources. Simulation results show good positioning accuracy
and compare very favorably with alternative approaches from the literature.
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless
acoustic sensor networks utilizing DoA and distance information. EURASIP Journal
on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP
Journal on Audio, Speech, and Music Processing. https://doi.org/10.1186/s13636-021-00210-x
bibtex: '@article{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information},
DOI={10.1186/s13636-021-00210-x},
journal={EURASIP Journal on Audio, Speech, and Music Processing}, author={Gburrek,
Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Geometry
Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.”
EURASIP Journal on Audio, Speech, and Music Processing, 2021. https://doi.org/10.1186/s13636-021-00210-x.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information,”
EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi: 10.1186/s13636-021-00210-x.'
mla: Gburrek, Tobias, et al. “Geometry Calibration in Wireless Acoustic Sensor Networks
Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech,
and Music Processing, 2021, doi:10.1186/s13636-021-00210-x.
short: T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio,
Speech, and Music Processing (2021).
date_created: 2021-07-05T05:30:15Z
date_updated: 2023-11-17T06:36:17Z
department:
- _id: '54'
doi: 10.1186/s13636-021-00210-x
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-021-00210-x
oa: '1'
publication: EURASIP Journal on Audio, Speech, and Music Processing
publication_identifier:
issn:
- 1687-4722
publication_status: published
quality_controlled: '1'
status: public
title: Geometry calibration in wireless acoustic sensor networks utilizing DoA and
distance information
type: journal_article
user_id: '44006'
year: '2021'
...
---
_id: '23994'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Iterative Geometry Calibration
from Distance Estimates for Wireless Acoustic Sensor Networks. In: ICASSP 2021
- 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9413831'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Iterative Geometry
Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP
2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). https://doi.org/10.1109/icassp39728.2021.9413831
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Iterative
Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks},
DOI={10.1109/icassp39728.2021.9413831},
booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, author={Gburrek, Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2021} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Iterative
Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.”
In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9413831.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Iterative Geometry Calibration
from Distance Estimates for Wireless Acoustic Sensor Networks,” 2021, doi: 10.1109/icassp39728.2021.9413831.'
mla: Gburrek, Tobias, et al. “Iterative Geometry Calibration from Distance Estimates
for Wireless Acoustic Sensor Networks.” ICASSP 2021 - 2021 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9413831.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2021.'
date_created: 2021-09-09T08:30:16Z
date_updated: 2023-11-17T06:30:12Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.1109/icassp39728.2021.9413831
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:29:40Z
date_updated: 2023-11-17T06:30:11Z
file_id: '48988'
file_name: icassp21.pdf
file_size: 312400
relation: main_file
file_date_updated: 2023-11-17T06:30:11Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
quality_controlled: '1'
status: public
title: Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic
Sensor Networks
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '23999'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance
Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication;
14th ITG-Symposium. ; 2021:1-5.'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks. Speech Communication;
14th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks}, booktitle={Speech
Communication; 14th ITG-Symposium}, author={Gburrek, Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks.” In Speech
Communication; 14th ITG-Symposium, 1–5, 2021.
ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks,” in Speech
Communication; 14th ITG-Symposium, 2021, pp. 1–5.
mla: Gburrek, Tobias, et al. “On Source-Microphone Distance Estimation Using Convolutional
Recurrent Neural Networks.” Speech Communication; 14th ITG-Symposium, 2021,
pp. 1–5.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication;
14th ITG-Symposium, 2021, pp. 1–5.'
date_created: 2021-09-09T08:40:44Z
date_updated: 2023-11-17T06:32:20Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:31:37Z
date_updated: 2023-11-17T06:31:37Z
file_id: '48989'
file_name: dist_est.pdf
file_size: 449694
relation: main_file
file_date_updated: 2023-11-17T06:31:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 1-5
publication: Speech Communication; 14th ITG-Symposium
quality_controlled: '1'
status: public
title: On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural
Networks
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '23997'
author:
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Gerald
full_name: Enzner, Gerald
last_name: Enzner
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling
Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th
European Signal Processing Conference (EUSIPCO). ; 2021:1-5.'
apa: Chinaev, A., Enzner, G., Gburrek, T., & Schmalenstroeer, J. (2021). Online
Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with
Packet Loss. 29th European Signal Processing Conference (EUSIPCO), 1–5.
bibtex: '@inproceedings{Chinaev_Enzner_Gburrek_Schmalenstroeer_2021, title={Online
Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with
Packet Loss}, booktitle={29th European Signal Processing Conference (EUSIPCO)},
author={Chinaev, Aleksej and Enzner, Gerald and Gburrek, Tobias and Schmalenstroeer,
Joerg}, year={2021}, pages={1–5} }'
chicago: Chinaev, Aleksej, Gerald Enzner, Tobias Gburrek, and Joerg Schmalenstroeer.
“Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks
with Packet Loss.” In 29th European Signal Processing Conference (EUSIPCO),
1–5, 2021.
ieee: A. Chinaev, G. Enzner, T. Gburrek, and J. Schmalenstroeer, “Online Estimation
of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss,”
in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.
mla: Chinaev, Aleksej, et al. “Online Estimation of Sampling Rate Offsets in Wireless
Acoustic Sensor Networks with Packet Loss.” 29th European Signal Processing
Conference (EUSIPCO), 2021, pp. 1–5.
short: 'A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European
Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.'
date_created: 2021-09-09T08:39:06Z
date_updated: 2023-11-17T06:37:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001110.pdf
oa: '1'
page: 1-5
publication: 29th European Signal Processing Conference (EUSIPCO)
quality_controlled: '1'
status: public
title: Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks
with Packet Loss
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '20505'
abstract:
- lang: eng
text: "Speech activity detection (SAD), which often rests on the fact that the noise
is \"more'' stationary than speech, is particularly challenging in non-stationary
environments, because the time variance of the acoustic scene makes it difficult
to discriminate speech from noise. We propose two approaches to SAD, where one
is based on statistical signal processing, while the other utilizes neural networks.
The former employs sophisticated signal processing to track the noise and speech
energies and is meant to support the case for a resource efficient, unsupervised
signal processing approach.\r\nThe latter introduces a recurrent network layer
that operates on short segments of the input speech to do temporal smoothing in
the presence of non-stationary noise. The systems are tested on the Fearless Steps
challenge database, which consists of the transmission data from the Apollo-11
space mission.\r\nThe statistical SAD achieves comparable detection performance
to earlier proposed neural network based SADs, while the neural network based
approach leads to a decision cost function of 1.07% on the evaluation set of the
2020 Fearless Steps Challenge, which sets a new state of the art."
author:
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network
Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH
2020 Virtual Shanghai China. ; 2020.'
apa: Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2020). Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments. INTERSPEECH 2020 Virtual Shanghai China.
bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Haeb-Umbach_2020, title={Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments}, booktitle={INTERSPEECH 2020 Virtual Shanghai China}, author={Heitkaemper,
Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2020} }'
chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments.” In INTERSPEECH 2020 Virtual Shanghai China, 2020.
ieee: J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Statistical and Neural
Network Based Speech Activity Detection in Non-Stationary Acoustic Environments,”
2020.
mla: Heitkaemper, Jens, et al. “Statistical and Neural Network Based Speech Activity
Detection in Non-Stationary Acoustic Environments.” INTERSPEECH 2020 Virtual
Shanghai China, 2020.
short: 'J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020
Virtual Shanghai China, 2020.'
date_created: 2020-11-25T15:03:19Z
date_updated: 2023-10-26T08:28:49Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: jensheit
date_created: 2020-12-11T12:33:04Z
date_updated: 2020-12-11T12:33:04Z
file_id: '20697'
file_name: ms.pdf
file_size: 998706
relation: main_file
success: 1
file_date_updated: 2020-12-11T12:33:04Z
has_accepted_license: '1'
keyword:
- voice activity detection
- speech activity detection
- neural network
- statistical speech processing
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2020 Virtual Shanghai China
status: public
title: Statistical and Neural Network Based Speech Activity Detection in Non-Stationary
Acoustic Environments
type: conference
user_id: '460'
year: '2020'
...
---
_id: '18651'
abstract:
- lang: eng
text: 'We present an approach to deep neural network based (DNN-based) distance
estimation in reverberant rooms for supporting geometry calibration tasks in wireless
acoustic sensor networks. Signal diffuseness information from acoustic signals
is aggregated via the coherent-to-diffuse power ratio to obtain a distance-related
feature, which is mapped to a source-to-microphone distance estimate by means
of a DNN. This information is then combined with direction-of-arrival estimates
from compact microphone arrays to infer the geometry of the sensor network. Unlike
many other approaches to geometry calibration, the proposed scheme does only require
that the sampling clocks of the sensor nodes are roughly synchronized. In simulations
we show that the proposed DNN-based distance estimator generalizes to unseen acoustic
environments and that precise estimates of the sensor node positions are obtained. '
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Andreas
full_name: Brendel, Andreas
last_name: Brendel
- first_name: Walter
full_name: Kellermann, Walter
last_name: Kellermann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Brendel A, Kellermann W, Haeb-Umbach R. Deep
Neural Network based Distance Estimation for Geometry Calibration in Acoustic
Sensor Network. In: European Signal Processing Conference (EUSIPCO). ;
2020.'
apa: Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., & Haeb-Umbach,
R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration
in Acoustic Sensor Network. European Signal Processing Conference (EUSIPCO).
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Brendel_Kellermann_Haeb-Umbach_2020,
title={Deep Neural Network based Distance Estimation for Geometry Calibration
in Acoustic Sensor Network}, booktitle={European Signal Processing Conference
(EUSIPCO)}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Brendel, Andreas
and Kellermann, Walter and Haeb-Umbach, Reinhold}, year={2020} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann,
and Reinhold Haeb-Umbach. “Deep Neural Network Based Distance Estimation for Geometry
Calibration in Acoustic Sensor Network.” In European Signal Processing Conference
(EUSIPCO), 2020.
ieee: T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, and R. Haeb-Umbach,
“Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic
Sensor Network,” 2020.
mla: Gburrek, Tobias, et al. “Deep Neural Network Based Distance Estimation for
Geometry Calibration in Acoustic Sensor Network.” European Signal Processing
Conference (EUSIPCO), 2020.
short: 'T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, R. Haeb-Umbach,
in: European Signal Processing Conference (EUSIPCO), 2020.'
date_created: 2020-08-31T07:20:57Z
date_updated: 2023-11-17T06:23:39Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:21:40Z
date_updated: 2023-11-17T06:21:40Z
file_id: '48987'
file_name: Gburrek2020.pdf
file_size: 292159
relation: main_file
file_date_updated: 2023-11-17T06:21:40Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: European Signal Processing Conference (EUSIPCO)
quality_controlled: '1'
status: public
title: Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic
Sensor Network
type: conference
user_id: '44006'
year: '2020'
...
---
_id: '15952'
abstract:
- lang: eng
text: Arbitrary sampling rate conversion has already received considerable attention
in the past, but still lacks an equivalent representation of the effective time-dilation
process in the block frequency domain. Good sampling rate converters in the time
domain have been known, for instance, in terms of time-varying 'Sinc' or fixed
'Farrow' polynomial filters. The former can deliver nearly exact conversion at
high complexity, while the latter has pronounced computational efficiency with
limited accuracy. Only recently, it was shown that a composite 'polyphase Farrow'
form with high resampling precision can be implemented with quasi-fixed filters
that operate at the input sampling rate. We therefore propose to capitalize from
that fixed-filter architecture in that we translate the polyphase-Farrow filters
into an equivalent FFT-based overlap-save form. Experimental evaluation and comparison
with other state-of-the art frequency-domain approaches then proves currently
the best price-performance ratio of the proposed algorithm. It is thus an ideal
candidate for the new framework of acoustic sensor networks that critically rests
upon fast and accurate alignment of autonomous sampling processes.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Gerald
full_name: Enzner, Gerald
last_name: Enzner
citation:
ama: 'Schmalenstroeer J, Chinaev A, Enzner G. Fast and Accurate Audio Resampling
for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization.
In: Speech Communication; 13th ITG-Symposium. ; 2018:1-5.'
apa: Schmalenstroeer, J., Chinaev, A., & Enzner, G. (2018). Fast and Accurate
Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
FFT Realization. Speech Communication; 13th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Schmalenstroeer_Chinaev_Enzner_2018, title={Fast and Accurate
Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
FFT Realization}, booktitle={Speech Communication; 13th ITG-Symposium}, author={Schmalenstroeer,
Joerg and Chinaev, Aleksej and Enzner, Gerald}, year={2018}, pages={1–5} }'
chicago: Schmalenstroeer, Joerg, Aleksej Chinaev, and Gerald Enzner. “Fast and Accurate
Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
FFT Realization.” In Speech Communication; 13th ITG-Symposium, 1–5, 2018.
ieee: J. Schmalenstroeer, A. Chinaev, and G. Enzner, “Fast and Accurate Audio Resampling
for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization,”
in Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
mla: Schmalenstroeer, Joerg, et al. “Fast and Accurate Audio Resampling for Acoustic
Sensor Networks by Polyphase-Farrow Filters with FFT Realization.” Speech Communication;
13th ITG-Symposium, 2018, pp. 1–5.
short: 'J. Schmalenstroeer, A. Chinaev, G. Enzner, in: Speech Communication; 13th
ITG-Symposium, 2018, pp. 1–5.'
date_created: 2020-02-21T08:53:14Z
date_updated: 2023-10-26T08:04:30Z
language:
- iso: eng
page: 1-5
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Speech Communication; 13th ITG-Symposium
publication_identifier:
issn:
- 'null'
quality_controlled: '1'
status: public
title: Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow
Filters with FFT Realization
type: conference
user_id: '460'
year: '2018'
...
---
_id: '12899'
abstract:
- lang: eng
text: This contribution presents a speech enhancement system for the CHiME-5 Dinner
Party Scenario. The front-end employs multi-channel linear time-variant filtering
and achieves its gains without the use of a neural network. We present an adaptation
of blind source separation techniques to the CHiME-5 database which we call Guided
Source Separation (GSS). Using the baseline acoustic and language model, the combination
of Weighted Prediction Error based dereverberation, guided source separation,
and beamforming reduces the WER by 10:54% (relative) for the single array track
and by 21:12% (relative) on the multiple array track.
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Jahn
full_name: Heymann, Jahn
last_name: Heymann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Boeddeker C, Heitkaemper J, Schmalenstroeer J, Drude L, Heymann J, Haeb-Umbach
R. Front-End Processing for the CHiME-5 Dinner Party Scenario. In: Proc. CHiME
2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.
; 2018.'
apa: Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J.,
& Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party
Scenario. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
Hyderabad, India.
bibtex: '@inproceedings{Boeddeker_Heitkaemper_Schmalenstroeer_Drude_Heymann_Haeb-Umbach_2018,
title={Front-End Processing for the CHiME-5 Dinner Party Scenario}, booktitle={Proc.
CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
India}, author={Boeddeker, Christoph and Heitkaemper, Jens and Schmalenstroeer,
Joerg and Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2018}
}'
chicago: Boeddeker, Christoph, Jens Heitkaemper, Joerg Schmalenstroeer, Lukas Drude,
Jahn Heymann, and Reinhold Haeb-Umbach. “Front-End Processing for the CHiME-5
Dinner Party Scenario.” In Proc. CHiME 2018 Workshop on Speech Processing in
Everyday Environments, Hyderabad, India, 2018.
ieee: C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, and
R. Haeb-Umbach, “Front-End Processing for the CHiME-5 Dinner Party Scenario,”
2018.
mla: Boeddeker, Christoph, et al. “Front-End Processing for the CHiME-5 Dinner Party
Scenario.” Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
Hyderabad, India, 2018.
short: 'C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann,
R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday
Environments, Hyderabad, India, 2018.'
date_created: 2019-07-30T14:35:15Z
date_updated: 2023-10-26T08:14:15Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Paper.pdf
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
Hyderabad, India
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Poster.pdf
status: public
title: Front-End Processing for the CHiME-5 Dinner Party Scenario
type: conference
user_id: '460'
year: '2018'
...
---
_id: '6859'
abstract:
- lang: eng
text: "Signal processing in WASNs is based on a software framework for hosting the
algorithms as well as on a set of wireless connected devices representing the
hardware. Each of the nodes contributes memory, processing power, communication
bandwidth and some sensor information for the tasks to be solved on the network.
\r\nIn this paper we present our MARVELO framework for distributed signal processing.
It is intended for transforming existing centralized implementations into distributed
versions. To this end, the software only needs a block-oriented implementation,
which MARVELO picks-up and distributes on the network. Additionally, our sensor
node hardware and the audio interfaces responsible for multi-channel recordings
are presented."
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Joerg
full_name: Ullmann, Joerg
id: '16256'
last_name: Ullmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A
Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: Speech
Communication; 13th ITG-Symposium. ; 2018:1-5.'
apa: Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., & Karl, H.
(2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor
Networks. Speech Communication; 13th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Afifi_Schmalenstroeer_Ullmann_Haeb-Umbach_Karl_2018, title={MARVELO
- A Framework for Signal Processing in Wireless Acoustic Sensor Networks}, booktitle={Speech
Communication; 13th ITG-Symposium}, author={Afifi, Haitham and Schmalenstroeer,
Joerg and Ullmann, Joerg and Haeb-Umbach, Reinhold and Karl, Holger}, year={2018},
pages={1–5} }'
chicago: Afifi, Haitham, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach,
and Holger Karl. “MARVELO - A Framework for Signal Processing in Wireless Acoustic
Sensor Networks.” In Speech Communication; 13th ITG-Symposium, 1–5, 2018.
ieee: H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO
- A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in
Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
mla: Afifi, Haitham, et al. “MARVELO - A Framework for Signal Processing in Wireless
Acoustic Sensor Networks.” Speech Communication; 13th ITG-Symposium, 2018,
pp. 1–5.
short: 'H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, H. Karl, in: Speech
Communication; 13th ITG-Symposium, 2018, pp. 1–5.'
date_created: 2019-01-17T15:47:35Z
date_updated: 2023-10-26T08:15:32Z
department:
- _id: '75'
- _id: '54'
language:
- iso: eng
page: 1-5
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: Speech Communication; 13th ITG-Symposium
quality_controlled: '1'
status: public
title: MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11838'
abstract:
- lang: eng
text: Distributed sensor data acquisition usually encompasses data sampling by the
individual devices, where each of them has its own oscillator driving the local
sampling process, resulting in slightly different sampling rates at the individual
sensor nodes. Nevertheless, for certain downstream signal processing tasks it
is important to compensate even for small sampling rate offsets. Aligning the
sampling rates of oscillators which differ only by a few parts-per-million, is,
however, challenging and quite different from traditional multirate signal processing
tasks. In this paper we propose to transfer a precise but computationally demanding
time domain approach, inspired by the Nyquist-Shannon sampling theorem, to an
efficient frequency domain implementation. To this end a buffer control is employed
which compensates for sampling offsets which are multiples of the sampling period,
while a digital filter, realized by the wellknown Overlap-Save method, handles
the fractional part of the sampling phase offset. With experiments on artificially
misaligned data we investigate the parametrization, the efficiency, and the induced
distortions of the proposed resampling method. It is shown that a favorable compromise
between residual distortion and computational complexity is achieved, compared
to other sampling rate offset compensation techniques.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Efficient Sampling Rate Offset Compensation
- An Overlap-Save Based Approach. In: 26th European Signal Processing Conference
(EUSIPCO 2018). ; 2018.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Efficient Sampling Rate
Offset Compensation - An Overlap-Save Based Approach. 26th European Signal
Processing Conference (EUSIPCO 2018).
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2018, title={Efficient Sampling
Rate Offset Compensation - An Overlap-Save Based Approach}, booktitle={26th European
Signal Processing Conference (EUSIPCO 2018)}, author={Schmalenstroeer, Joerg and
Haeb-Umbach, Reinhold}, year={2018} }'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate
Offset Compensation - An Overlap-Save Based Approach.” In 26th European Signal
Processing Conference (EUSIPCO 2018), 2018.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Efficient Sampling Rate Offset Compensation
- An Overlap-Save Based Approach,” 2018.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate
Offset Compensation - An Overlap-Save Based Approach.” 26th European Signal
Processing Conference (EUSIPCO 2018), 2018.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing
Conference (EUSIPCO 2018), 2018.'
date_created: 2019-07-12T05:29:14Z
date_updated: 2023-10-26T08:12:33Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2018/Eusipco_2018_Schmalenstroeer_Paper.pdf
oa: '1'
publication: 26th European Signal Processing Conference (EUSIPCO 2018)
quality_controlled: '1'
status: public
title: Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11876'
abstract:
- lang: eng
text: This paper describes the systems for the single-array track and the multiple-array
track of the 5th CHiME Challenge. The final system is a combination of multiple
systems, using Confusion Network Combination (CNC). The different systems presented
here are utilizing different front-ends and training sets for a Bidirectional
Long Short-Term Memory (BLSTM) Acoustic Model (AM). The front-end was replaced
by enhancements provided by Paderborn University [1]. The back-end has been implemented
using RASR [2] and RETURNN [3]. Additionally, a system combination including the
hypothesis word graphs from the system of the submission [1] has been performed,
which results in the final best system.
author:
- first_name: Markus
full_name: Kitza, Markus
last_name: Kitza
- first_name: Wilfried
full_name: Michel, Wilfried
last_name: Michel
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Tobias
full_name: Menne, Tobias
last_name: Menne
- first_name: Ralf
full_name: Schlüter, Ralf
last_name: Schlüter
- first_name: Hermann
full_name: Ney, Hermann
last_name: Ney
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Kitza M, Michel W, Boeddeker C, et al. The RWTH/UPB System Combination for
the CHiME 2018 Workshop. In: Proc. CHiME 2018 Workshop on Speech Processing
in Everyday Environments, Hyderabad, India. ; 2018.'
apa: Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter,
R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R.
(2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. Proc.
CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
India.
bibtex: '@inproceedings{Kitza_Michel_Boeddeker_Heitkaemper_Menne_Schlüter_Ney_Schmalenstroeer_Drude_Heymann_et
al._2018, title={The RWTH/UPB System Combination for the CHiME 2018 Workshop},
booktitle={Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
Hyderabad, India}, author={Kitza, Markus and Michel, Wilfried and Boeddeker, Christoph
and Heitkaemper, Jens and Menne, Tobias and Schlüter, Ralf and Ney, Hermann and
Schmalenstroeer, Joerg and Drude, Lukas and Heymann, Jahn and et al.}, year={2018}
}'
chicago: Kitza, Markus, Wilfried Michel, Christoph Boeddeker, Jens Heitkaemper,
Tobias Menne, Ralf Schlüter, Hermann Ney, et al. “The RWTH/UPB System Combination
for the CHiME 2018 Workshop.” In Proc. CHiME 2018 Workshop on Speech Processing
in Everyday Environments, Hyderabad, India, 2018.
ieee: M. Kitza et al., “The RWTH/UPB System Combination for the CHiME 2018
Workshop,” 2018.
mla: Kitza, Markus, et al. “The RWTH/UPB System Combination for the CHiME 2018 Workshop.”
Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
India, 2018.
short: 'M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter,
H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME
2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India,
2018.'
date_created: 2019-07-12T05:29:58Z
date_updated: 2023-10-26T08:12:14Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_RWTH_Paper.pdf
oa: '1'
publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
Hyderabad, India
quality_controlled: '1'
status: public
title: The RWTH/UPB System Combination for the CHiME 2018 Workshop
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11836'
abstract:
- lang: eng
text: Due to their distributed nature wireless acoustic sensor networks offer great
potential for improved signal acquisition, processing and classification for applications
such as monitoring and surveillance, home automation, or hands-free telecommunication.
To reduce the communication demand with a central server and to raise the privacy
level it is desirable to perform processing at node level. The limited processing
and memory capabilities on a sensor node, however, stand in contrast to the compute
and memory intensive deep learning algorithms used in modern speech and audio
processing. In this work, we perform benchmarking of commonly used convolutional
and recurrent neural network architectures on a Raspberry Pi based acoustic sensor
node. We show that it is possible to run medium-sized neural network topologies
used for speech enhancement and speech recognition in real time. For acoustic
event recognition, where predictions in a lower temporal resolution are sufficient,
it is even possible to run current state-of-the-art deep convolutional models
with a real-time-factor of 0:11.
author:
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Ebbers J, Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Benchmarking Neural
Network Architectures for Acoustic Sensor Networks. In: ITG 2018, Oldenburg,
Germany. ; 2018.'
apa: Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2018).
Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG
2018, Oldenburg, Germany.
bibtex: '@inproceedings{Ebbers_Heitkaemper_Schmalenstroeer_Haeb-Umbach_2018, title={Benchmarking
Neural Network Architectures for Acoustic Sensor Networks}, booktitle={ITG 2018,
Oldenburg, Germany}, author={Ebbers, Janek and Heitkaemper, Jens and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2018} }'
chicago: Ebbers, Janek, Jens Heitkaemper, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach.
“Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” In ITG
2018, Oldenburg, Germany, 2018.
ieee: J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking
Neural Network Architectures for Acoustic Sensor Networks,” 2018.
mla: Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic
Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018.
short: 'J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018,
Oldenburg, Germany, 2018.'
date_created: 2019-07-12T05:29:11Z
date_updated: 2023-10-26T08:12:40Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Paper.pdf
oa: '1'
publication: ITG 2018, Oldenburg, Germany
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Poster.pdf
status: public
title: Benchmarking Neural Network Architectures for Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11839'
abstract:
- lang: eng
text: It has been experimentally verified that sampling rate offsets (SROs) between
the input channels of an acoustic beamformer have a detrimental effect on the
achievable SNR gains. In this paper we derive an analytic model to study the impact
of SRO on the estimation of the spatial noise covariance matrix used in MVDR beamforming.
It is shown that a perfect compensation of the SRO is impossible if the noise
covariance matrix is estimated by time averaging, even if the SRO is perfectly
known. The SRO should therefore be compensated for prior to beamformer coefficient
estimation. We present a novel scheme where SRO compensation and beamforming closely
interact, saving some computational effort compared to separate SRO adjustment
followed by acoustic beamforming.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Insights into the Interplay of Sampling
Rate Offsets and MVDR Beamforming. In: ITG 2018, Oldenburg, Germany. ;
2018.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Insights into the Interplay
of Sampling Rate Offsets and MVDR Beamforming. ITG 2018, Oldenburg, Germany.
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2018, title={Insights into the
Interplay of Sampling Rate Offsets and MVDR Beamforming}, booktitle={ITG 2018,
Oldenburg, Germany}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold},
year={2018} }'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Insights into the Interplay
of Sampling Rate Offsets and MVDR Beamforming.” In ITG 2018, Oldenburg, Germany,
2018.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Insights into the Interplay of Sampling
Rate Offsets and MVDR Beamforming,” 2018.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Insights into the Interplay
of Sampling Rate Offsets and MVDR Beamforming.” ITG 2018, Oldenburg, Germany,
2018.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.'
date_created: 2019-07-12T05:29:15Z
date_updated: 2023-10-26T08:12:22Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Schmalenstroeer_Paper.pdf
oa: '1'
publication: ITG 2018, Oldenburg, Germany
quality_controlled: '1'
status: public
title: Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming
type: conference
user_id: '460'
year: '2018'
...
---
_id: '12081'
abstract:
- lang: eng
text: 'The invention relates to a building or enclosure termination opening and/or
closing apparatus having communication signed or encrypted by means of a key,
and to a method for operating such. To allow simple, convenient and secure use
by exclusively authorised users, the apparatus comprises: a first and a second
user terminal, with secure forwarding of a time-limited key from the first to
the second user terminal being possible. According to an alternative, individual
keys are generated by a user identification and a secret device key.'
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: Jacob F, Schmalenstroeer J. Building or Enclosure Termination Closing and/or
Opening Apparatus, and Method for Operating a Building or Enclosure Termination.
2017.
apa: Jacob, F., & Schmalenstroeer, J. (2017). Building or Enclosure Termination
Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure
Termination.
bibtex: '@article{Jacob_Schmalenstroeer_2017, title={Building or Enclosure Termination
Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure
Termination}, author={Jacob, Florian and Schmalenstroeer, Joerg}, year={2017}
}'
chicago: Jacob, Florian, and Joerg Schmalenstroeer. “Building or Enclosure Termination
Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure
Termination,” 2017.
ieee: F. Jacob and J. Schmalenstroeer, “Building or Enclosure Termination Closing
and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.”
2017.
mla: Jacob, Florian, and Joerg Schmalenstroeer. Building or Enclosure Termination
Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure
Termination. 2017.
short: F. Jacob, J. Schmalenstroeer, (2017).
date_created: 2019-07-19T08:07:11Z
date_updated: 2022-01-06T06:51:17Z
department:
- _id: '54'
ipc: WO2018/077610A
ipn: WO2018/077610A
publication_date: '2017'
status: public
title: Building or Enclosure Termination Closing and/or Opening Apparatus, and Method
for Operating a Building or Enclosure Termination
type: patent
user_id: '460'
year: '2017'
...
---
_id: '11895'
abstract:
- lang: eng
text: Multi-channel speech enhancement algorithms rely on a synchronous sampling
of the microphone signals. This, however, cannot always be guaranteed, especially
if the sensors are distributed in an environment. To avoid performance degradation
the sampling rate offset needs to be estimated and compensated for. In this contribution
we extend the recently proposed coherence drift based method in two important
directions. First, the increasing phase shift in the short-time Fourier transform
domain is estimated from the coherence drift in a Matched Filterlike fashion,
where intermediate estimates are weighted by their instantaneous SNR. Second,
an observed bias is removed by iterating between offset estimation and compensation
by resampling a couple of times. The effectiveness of the proposed method is demonstrated
by speech recognition results on the output of a beamformer with and without sampling
rate offset compensation between the input channels. We compare MVDR and maximum-SNR
beamformers in reverberant environments and further show that both benefit from
a novel phase normalization, which we also propose in this contribution.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage
Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.
In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
; 2017.'
apa: Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., & Haeb-Umbach,
R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for
Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal
Processing (MMSP).
bibtex: '@inproceedings{Schmalenstroeer_Heymann_Drude_Boeddeker_Haeb-Umbach_2017,
title={Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming}, booktitle={IEEE 19th International Workshop on Multimedia Signal
Processing (MMSP)}, author={Schmalenstroeer, Joerg and Heymann, Jahn and Drude,
Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Schmalenstroeer, Joerg, Jahn Heymann, Lukas Drude, Christoph Boeddeker,
and Reinhold Haeb-Umbach. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization
for Acoustic Beamforming.” In IEEE 19th International Workshop on Multimedia
Signal Processing (MMSP), 2017.
ieee: J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach,
“Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming,” 2017.
mla: Schmalenstroeer, Joerg, et al. “Multi-Stage Coherence Drift Based Sampling
Rate Synchronization for Acoustic Beamforming.” IEEE 19th International Workshop
on Multimedia Signal Processing (MMSP), 2017.
short: 'J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach,
in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.'
date_created: 2019-07-12T05:30:20Z
date_updated: 2023-10-26T08:12:05Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb.pdf
oa: '1'
publication: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb_poster.pdf
status: public
title: Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming
type: conference
user_id: '460'
year: '2017'
...
---
_id: '11890'
abstract:
- lang: eng
text: In this paper we study the influence of directional radio patterns of Bluetooth
low energy (BLE) beacons on smartphone localization accuracy and beacon network
planning. A two-dimensional model of the power emission characteristic is derived
from measurements of the radiation pattern of BLE beacons carried out in an RF
chamber. The Cramer-Rao lower bound (CRLB) for position estimation is then derived
for this directional power emission model. With this lower bound on the RMS positioning
error the coverage of different beacon network configurations can be evaluated.
For near-optimal network planing an evolutionary optimization algorithm for finding
the best beacon placement is presented.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy
Localization Precision Limits. In: 24th European Signal Processing Conference
(EUSIPCO 2016). ; 2016.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2016). Investigations into Bluetooth
Low Energy Localization Precision Limits. 24th European Signal Processing Conference
(EUSIPCO 2016).
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2016, title={Investigations
into Bluetooth Low Energy Localization Precision Limits}, booktitle={24th European
Signal Processing Conference (EUSIPCO 2016)}, author={Schmalenstroeer, Joerg and
Haeb-Umbach, Reinhold}, year={2016} }'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into
Bluetooth Low Energy Localization Precision Limits.” In 24th European Signal
Processing Conference (EUSIPCO 2016), 2016.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low
Energy Localization Precision Limits,” 2016.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into Bluetooth
Low Energy Localization Precision Limits.” 24th European Signal Processing
Conference (EUSIPCO 2016), 2016.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing
Conference (EUSIPCO 2016), 2016.'
date_created: 2019-07-12T05:30:14Z
date_updated: 2023-10-26T08:11:52Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16.pdf
oa: '1'
publication: 24th European Signal Processing Conference (EUSIPCO 2016)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16_Poster.pdf
status: public
title: Investigations into Bluetooth Low Energy Localization Precision Limits
type: conference
user_id: '460'
year: '2016'
...
---
_id: '11874'
author:
- first_name: Manh Kha
full_name: Hoang, Manh Kha
last_name: Hoang
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Hoang MK, Schmalenstroeer J, Haeb-Umbach R. Aligning training models with
smartphone properties in WiFi fingerprinting based indoor localization. In: 40th
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
; 2015.'
apa: Hoang, M. K., Schmalenstroeer, J., & Haeb-Umbach, R. (2015). Aligning training
models with smartphone properties in WiFi fingerprinting based indoor localization.
40th International Conference on Acoustics, Speech and Signal Processing (ICASSP
2015).
bibtex: '@inproceedings{Hoang_Schmalenstroeer_Haeb-Umbach_2015, title={Aligning
training models with smartphone properties in WiFi fingerprinting based indoor
localization}, booktitle={40th International Conference on Acoustics, Speech and
Signal Processing (ICASSP 2015)}, author={Hoang, Manh Kha and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2015} }'
chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Aligning
Training Models with Smartphone Properties in WiFi Fingerprinting Based Indoor
Localization.” In 40th International Conference on Acoustics, Speech and Signal
Processing (ICASSP 2015), 2015.
ieee: M. K. Hoang, J. Schmalenstroeer, and R. Haeb-Umbach, “Aligning training models
with smartphone properties in WiFi fingerprinting based indoor localization,”
2015.
mla: Hoang, Manh Kha, et al. “Aligning Training Models with Smartphone Properties
in WiFi Fingerprinting Based Indoor Localization.” 40th International Conference
on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.
short: 'M.K. Hoang, J. Schmalenstroeer, R. Haeb-Umbach, in: 40th International Conference
on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.'
date_created: 2019-07-12T05:29:55Z
date_updated: 2023-10-26T08:11:43Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2015/HoSchHa2015.pdf
oa: '1'
publication: 40th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2015)
quality_controlled: '1'
status: public
title: Aligning training models with smartphone properties in WiFi fingerprinting
based indoor localization
type: conference
user_id: '460'
year: '2015'
...
---
_id: '11898'
abstract:
- lang: eng
text: Abstract In this paper we present an approach for synchronizing a wireless
acoustic sensor network using a two-stage procedure. First the clock frequency
and phase differences between pairs of nodes are estimated employing a two-way
message exchange protocol. The estimates are further improved in a Kalman filter
with a dedicated observation error model. In the second stage network-wide synchronization
is achieved by means of a gossiping algorithm which estimates the average clock
frequency and phase of the sensor nodes. These averages are viewed as frequency
and phase of a virtual master clock, to which the clocks of the sensor nodes have
to be adjusted. The amount of adjustment is computed in a specific control loop.
While these steps are done in software, the actual sampling rate correction is
carried out in hardware by using an adjustable frequency synthesizer. Experimental
results obtained from hardware devices and software simulations of large scale
networks are presented.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Patrick
full_name: Jebramcik, Patrick
last_name: Jebramcik
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A combined hardware-software
approach for acoustic sensor network synchronization . Signal Processing.
2014;(0). doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030
apa: Schmalenstroeer, J., Jebramcik, P., & Haeb-Umbach, R. (2014). A combined
hardware-software approach for acoustic sensor network synchronization . Signal
Processing, 0. http://dx.doi.org/10.1016/j.sigpro.2014.06.030
bibtex: '@article{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A combined
hardware-software approach for acoustic sensor network synchronization }, DOI={http://dx.doi.org/10.1016/j.sigpro.2014.06.030},
number={0}, journal={Signal Processing}, author={Schmalenstroeer, Joerg and Jebramcik,
Patrick and Haeb-Umbach, Reinhold}, year={2014} }'
chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A
Combined Hardware-Software Approach for Acoustic Sensor Network Synchronization
.” Signal Processing, no. 0 (2014). http://dx.doi.org/10.1016/j.sigpro.2014.06.030.
ieee: 'J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A combined hardware-software
approach for acoustic sensor network synchronization ,” Signal Processing,
no. 0, p., 2014, doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030.'
mla: Schmalenstroeer, Joerg, et al. “A Combined Hardware-Software Approach for Acoustic
Sensor Network Synchronization .” Signal Processing, no. 0, 2014, p., doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030.
short: J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, Signal Processing (2014).
date_created: 2019-07-12T05:30:23Z
date_updated: 2023-10-26T08:11:22Z
department:
- _id: '54'
doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030
issue: '0'
keyword:
- Gossip algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.sciencedirect.com/science/article/pii/S0165168414002990
oa: '1'
page: ' - '
publication: Signal Processing
publication_identifier:
issn:
- 0165-1684
quality_controlled: '1'
status: public
title: 'A combined hardware-software approach for acoustic sensor network synchronization '
type: journal_article
user_id: '460'
year: '2014'
...
---
_id: '11897'
abstract:
- lang: eng
text: ' "In this paper we present an approach for synchronizing the sampling clocks
of distributed microphones over a wireless network. The proposed system uses a
two stage procedure. It first employs a two-way message exchange algorithm to
estimate the clock phase and frequency difference between two nodes and then uses
a gossiping algorithmto estimate a virtual master clock, to which all sensor nodes
synchronize. Simulation results are presented for networks of different topology
and size, showing the effectiveness of our approach." '
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Patrick
full_name: Jebramcik, Patrick
last_name: Jebramcik
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling
Clock Synchronization in Wireless Acoustic Sensor Networks. In: 39th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.'
apa: Schmalenstroeer, J., Jebramcik, P., & Haeb-Umbach, R. (2014). A Gossiping
Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks.
39th International Conference on Acoustics, Speech and Signal Processing (ICASSP
2014).
bibtex: '@inproceedings{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A Gossiping
Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks},
booktitle={39th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2014)}, author={Schmalenstroeer, Joerg and Jebramcik, Patrick and Haeb-Umbach,
Reinhold}, year={2014} }'
chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A
Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor
Networks.” In 39th International Conference on Acoustics, Speech and Signal
Processing (ICASSP 2014), 2014.
ieee: J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A Gossiping Approach
to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks,” 2014.
mla: Schmalenstroeer, Joerg, et al. “A Gossiping Approach to Sampling Clock Synchronization
in Wireless Acoustic Sensor Networks.” 39th International Conference on Acoustics,
Speech and Signal Processing (ICASSP 2014), 2014.
short: 'J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, in: 39th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.'
date_created: 2019-07-12T05:30:22Z
date_updated: 2023-10-26T08:11:31Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHae2014.pdf
oa: '1'
publication: 39th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2014)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebICASSP2014_Poster.pdf
status: public
title: A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic
Sensor Networks
type: conference
user_id: '460'
year: '2014'
...
---
_id: '11903'
abstract:
- lang: eng
text: '"Acoustic sensor network clock synchronization via time stamp exchange between
the sensor nodes is not accurate enough for many acoustic signal processing tasks,
such as speaker localization. To improve synchronization accuracy it has therefore
been proposed to employ a Kalman Filter to obtain improved frequency deviation
and phase offset estimates. The estimation requires a statistical model of the
errors of the measurements obtained from the time stamp exchange algorithm. These
errors are caused by random transmission delays and hardware effects and are thus
network specific. In this contribution we develop an algorithm to estimate the
parameters of the measurement error model alongside the Kalman filter based sampling
clock synchronization, employing the Expectation Maximization algorithm. Simulation
results demonstrate that the online estimation of the error model parameters leads
only to a small degradation of the synchronization performance compared to a perfectly
known observation error model."'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Weile
full_name: Zhao, Weile
last_name: Zhao
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation
for Acoustic Sensor Network Synchronization. In: 11. ITG Fachtagung Sprachkommunikation
(ITG 2014). ; 2014.'
apa: Schmalenstroeer, J., Zhao, W., & Haeb-Umbach, R. (2014). Online Observation
Error Model Estimation for Acoustic Sensor Network Synchronization. 11. ITG
Fachtagung Sprachkommunikation (ITG 2014).
bibtex: '@inproceedings{Schmalenstroeer_Zhao_Haeb-Umbach_2014, title={Online Observation
Error Model Estimation for Acoustic Sensor Network Synchronization}, booktitle={11.
ITG Fachtagung Sprachkommunikation (ITG 2014)}, author={Schmalenstroeer, Joerg
and Zhao, Weile and Haeb-Umbach, Reinhold}, year={2014} }'
chicago: Schmalenstroeer, Joerg, Weile Zhao, and Reinhold Haeb-Umbach. “Online Observation
Error Model Estimation for Acoustic Sensor Network Synchronization.” In 11.
ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
ieee: J. Schmalenstroeer, W. Zhao, and R. Haeb-Umbach, “Online Observation Error
Model Estimation for Acoustic Sensor Network Synchronization,” 2014.
mla: Schmalenstroeer, Joerg, et al. “Online Observation Error Model Estimation for
Acoustic Sensor Network Synchronization.” 11. ITG Fachtagung Sprachkommunikation
(ITG 2014), 2014.
short: 'J. Schmalenstroeer, W. Zhao, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation
(ITG 2014), 2014.'
date_created: 2019-07-12T05:30:29Z
date_updated: 2023-10-26T08:14:00Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014.pdf
oa: '1'
publication: 11. ITG Fachtagung Sprachkommunikation (ITG 2014)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Poster.pdf
- description: Demo
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Demo.pdf
status: public
title: Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization
type: conference
user_id: '460'
year: '2014'
...
---
_id: '11926'
abstract:
- lang: eng
text: In this paper we present a novel initialization method for unsupervised learning
of acoustic patterns in recordings of continuous speech. The pattern discovery
task is solved by dynamic time warping whose performance we improve by a smart
starting point selection. This enables a more accurate discovery of patterns compared
to conventional approaches. After graph-based clustering the patterns are employed
for training hidden Markov models for an unsupervised speech acquisition. By iterating
between model training and decoding in an EM-like framework the word accuracy
is continuously improved. On the TIDIGITS corpus we achieve a word error rate
of about 13 percent by the proposed unsupervised pattern discovery approach, which
neither assumes knowledge of the acoustic units nor of the labels of the training
data.
author:
- first_name: Oliver
full_name: Walter, Oliver
last_name: Walter
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Walter O, Schmalenstroeer J, Haeb-Umbach R. A Novel Initialization Method
for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).;
2013.
apa: Walter, O., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). A Novel Initialization
Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).
bibtex: '@book{Walter_Schmalenstroeer_Haeb-Umbach_2013, title={A Novel Initialization
Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)},
author={Walter, Oliver and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold},
year={2013} }'
chicago: Walter, Oliver, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A Novel
Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech
(FGNT-2013-01), 2013.
ieee: O. Walter, J. Schmalenstroeer, and R. Haeb-Umbach, A Novel Initialization
Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).
2013.
mla: Walter, Oliver, et al. A Novel Initialization Method for Unsupervised Learning
of Acoustic Patterns in Speech (FGNT-2013-01). 2013.
short: O. Walter, J. Schmalenstroeer, R. Haeb-Umbach, A Novel Initialization Method
for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01), 2013.
date_created: 2019-07-12T05:30:55Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/WaScHa2013.pdf
oa: '1'
status: public
title: A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns
in Speech (FGNT-2013-01)
type: report
user_id: '44006'
year: '2013'
...
---
_id: '11832'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the absolute geometry of
an acoustic sensor network, consisting of spatially distributed microphone arrays,
from reverberant speech input. The calibration relies on direction of arrival
measurements of the individual arrays. The proposed calibration algorithm is derived
from a maximum-likelihood approach employing circular statistics. Since a sensor
node consists of a microphone array with known intra-array geometry, we are able
to obtain an absolute geometry estimate, including angles and distances. Simulation
results demonstrate the effectiveness of the approach.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position
Self-Calibration Using Circular Statistic. In: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120.
doi:10.1109/ICASSP.2013.6637620'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone
Array Position Self-Calibration Using Circular Statistic. 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120.
https://doi.org/10.1109/ICASSP.2013.6637620
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={10.1109/ICASSP.2013.6637620},
booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach,
Reinhold}, year={2013}, pages={116–120} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic.” In 38th
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013),
116–20, 2013. https://doi.org/10.1109/ICASSP.2013.6637620.
ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array
Position Self-Calibration Using Circular Statistic,” in 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013,
pp. 116–120, doi: 10.1109/ICASSP.2013.6637620.'
mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration
Using Circular Statistic.” 38th International Conference on Acoustics, Speech,
and Signal Processing (ICASSP 2013), 2013, pp. 116–20, doi:10.1109/ICASSP.2013.6637620.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.'
date_created: 2019-07-12T05:29:07Z
date_updated: 2023-10-26T08:11:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637620
keyword:
- Geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf
oa: '1'
page: 116-120
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)
publication_identifier:
issn:
- 1520-6149
quality_controlled: '1'
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf
status: public
title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11891'
abstract:
- lang: eng
text: In this paper we present a combined hardware/software approach for synchronizing
the sampling clocks of an acoustic sensor network. A first clock frequency offset
estimate is obtained by a time stamp exchange protocol with a low data rate and
computational requirements. The estimate is then postprocessed by a Kalman filter
which exploits the specific properties of the statistics of the frequency offset
estimation error. In long term experiments the deviation between the sampling
oscillators of two sensor nodes never exceeded half a sample with a wired and
with a wireless link between the nodes. The achieved precision enables the estimation
of time difference of arrival values across different hardware devices without
sharing a common sampling hardware.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Sampling Rate Synchronisation in Acoustic
Sensor Networks with a Pre-Trained Clock Skew Error Model. In: 21th European
Signal Processing Conference (EUSIPCO 2013). ; 2013.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2013). Sampling Rate Synchronisation
in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. 21th
European Signal Processing Conference (EUSIPCO 2013).
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2013, title={Sampling Rate Synchronisation
in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model}, booktitle={21th
European Signal Processing Conference (EUSIPCO 2013)}, author={Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2013} }'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation
in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” In 21th
European Signal Processing Conference (EUSIPCO 2013), 2013.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Sampling Rate Synchronisation in Acoustic
Sensor Networks with a Pre-Trained Clock Skew Error Model,” 2013.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation
in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” 21th
European Signal Processing Conference (EUSIPCO 2013), 2013.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 21th European Signal Processing
Conference (EUSIPCO 2013), 2013.'
date_created: 2019-07-12T05:30:15Z
date_updated: 2023-10-26T08:11:01Z
department:
- _id: '54'
keyword:
- synchronization
- acoustic sensor network
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013.pdf
oa: '1'
publication: 21th European Signal Processing Conference (EUSIPCO 2013)
quality_controlled: '1'
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013_Presentation.pdf
status: public
title: Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained
Clock Skew Error Model
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11818'
abstract:
- lang: eng
text: In this paper we present a system for indoor navigation based on received
signal strength index information of Wireless-LAN access points and relative position
estimates. The relative position information is gathered from inertial smartphone
sensors using a step detection and an orientation estimate. Our map data is hosted
on a server employing a map renderer and a SQL database. The database includes
a complete multilevel office building, within which the user can navigate. During
navigation, the client retrieves the position estimate from the server, together
with the corresponding map tiles to visualize the user's position on the smartphone
display.
author:
- first_name: Manh Kha
full_name: Hoang, Manh Kha
last_name: Hoang
- first_name: Sarah
full_name: Schmitz, Sarah
last_name: Schmitz
- first_name: Christian
full_name: Drueke, Christian
last_name: Drueke
- first_name: Dang Hai Tran
full_name: Vu, Dang Hai Tran
last_name: Vu
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server
based indoor navigation using RSSI and inertial sensor information. In: Positioning
Navigation and Communication (WPNC), 2013 10th Workshop On. ; 2013:1-6. doi:10.1109/WPNC.2013.6533263'
apa: Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., &
Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial
sensor information. Positioning Navigation and Communication (WPNC), 2013 10th
Workshop On, 1–6. https://doi.org/10.1109/WPNC.2013.6533263
bibtex: '@inproceedings{Hoang_Schmitz_Drueke_Vu_Schmalenstroeer_Haeb-Umbach_2013,
title={Server based indoor navigation using RSSI and inertial sensor information},
DOI={10.1109/WPNC.2013.6533263},
booktitle={Positioning Navigation and Communication (WPNC), 2013 10th Workshop
on}, author={Hoang, Manh Kha and Schmitz, Sarah and Drueke, Christian and Vu,
Dang Hai Tran and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013},
pages={1–6} }'
chicago: Hoang, Manh Kha, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg
Schmalenstroeer, and Reinhold Haeb-Umbach. “Server Based Indoor Navigation Using
RSSI and Inertial Sensor Information.” In Positioning Navigation and Communication
(WPNC), 2013 10th Workshop On, 1–6, 2013. https://doi.org/10.1109/WPNC.2013.6533263.
ieee: 'M. K. Hoang, S. Schmitz, C. Drueke, D. H. T. Vu, J. Schmalenstroeer, and
R. Haeb-Umbach, “Server based indoor navigation using RSSI and inertial sensor
information,” in Positioning Navigation and Communication (WPNC), 2013 10th
Workshop on, 2013, pp. 1–6, doi: 10.1109/WPNC.2013.6533263.'
mla: Hoang, Manh Kha, et al. “Server Based Indoor Navigation Using RSSI and Inertial
Sensor Information.” Positioning Navigation and Communication (WPNC), 2013
10th Workshop On, 2013, pp. 1–6, doi:10.1109/WPNC.2013.6533263.
short: 'M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach,
in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013,
pp. 1–6.'
date_created: 2019-07-12T05:28:51Z
date_updated: 2023-10-26T08:09:36Z
department:
- _id: '54'
doi: 10.1109/WPNC.2013.6533263
keyword:
- SQL
- navigation
- smart phones
- wireless LAN
- RSSI
- SQL database
- complete multilevel office building
- inertial sensor information
- inertial smartphone sensors
- map renderer
- received signal strength index information
- relative position estimates
- server based indoor navigation
- step detection
- wireless-LAN access points
- Smartphone
- fingerprint
- indoor navigation
- map tile
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf
oa: '1'
page: 1-6
publication: Positioning Navigation and Communication (WPNC), 2013 10th Workshop on
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf
status: public
title: Server based indoor navigation using RSSI and inertial sensor information
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11817'
abstract:
- lang: eng
text: In this paper we present a modified hidden Markov model (HMM) for the fusion
of received signal strength index (RSSI) information of WiFi access points and
relative position information which is obtained from the inertial sensors of a
smartphone for indoor positioning. Since the states of the HMM represent the potential
user locations, their number determines the quantization error introduced by discretizing
the allowable user positions through the use of the HMM. To reduce this quantization
error we introduce â??pseudoâ?? states, whose emission probability, which models
the RSSI measurements at this location, is synthesized from those of the neighboring
states of which a Gaussian emission probability has been estimated during the
training phase. The experimental results demonstrate the effectiveness of this
approach. By introducing on average two pseudo states per original HMM state the
positioning error could be significantly reduced without increasing the training
effort.
author:
- first_name: Manh Kha
full_name: Hoang, Manh Kha
last_name: Hoang
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Christian
full_name: Drueke, Christian
last_name: Drueke
- first_name: Dang Hai
full_name: Tran Vu, Dang Hai
last_name: Tran Vu
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Hoang MK, Schmalenstroeer J, Drueke C, Tran Vu DH, Haeb-Umbach R. A Hidden
Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection.
In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.'
apa: Hoang, M. K., Schmalenstroeer, J., Drueke, C., Tran Vu, D. H., & Haeb-Umbach,
R. (2013). A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting
and Step Detection. 21th European Signal Processing Conference (EUSIPCO 2013).
bibtex: '@inproceedings{Hoang_Schmalenstroeer_Drueke_Tran Vu_Haeb-Umbach_2013, title={A
Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and
Step Detection}, booktitle={21th European Signal Processing Conference (EUSIPCO
2013)}, author={Hoang, Manh Kha and Schmalenstroeer, Joerg and Drueke, Christian
and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2013} }'
chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, Christian Drueke, Dang Hai Tran
Vu, and Reinhold Haeb-Umbach. “A Hidden Markov Model for Indoor User Tracking
Based on WiFi Fingerprinting and Step Detection.” In 21th European Signal Processing
Conference (EUSIPCO 2013), 2013.
ieee: M. K. Hoang, J. Schmalenstroeer, C. Drueke, D. H. Tran Vu, and R. Haeb-Umbach,
“A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and
Step Detection,” 2013.
mla: Hoang, Manh Kha, et al. “A Hidden Markov Model for Indoor User Tracking Based
on WiFi Fingerprinting and Step Detection.” 21th European Signal Processing
Conference (EUSIPCO 2013), 2013.
short: 'M.K. Hoang, J. Schmalenstroeer, C. Drueke, D.H. Tran Vu, R. Haeb-Umbach,
in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.'
date_created: 2019-07-12T05:28:50Z
date_updated: 2023-10-26T08:09:45Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013.pdf
oa: '1'
publication: 21th European Signal Processing Conference (EUSIPCO 2013)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013_Poster.pdf
status: public
title: A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting
and Step Detection
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11833'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the geometry of an acoustic
sensor network consisting of spatially distributed microphone arrays from unconstrained
speech input. The calibration relies on Direction of Arrival (DoA) measurements
which do not require a clock synchronization among the sensor nodes. The calibration
problem is formulated as a cost function optimization task, which minimizes the
squared differences between measured and predicted observations and additionally
avoids the existence of minima that correspond to mirrored versions of the actual
sensor orientations. Further, outlier measurements caused by reverberation are
mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results
show a mean positioning error of at most 25 cm even in highly reverberant environments.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration
from Reverberant Speech Input. In: International Workshop on Acoustic Signal
Enhancement (IWAENC 2012). ; 2012.'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array
Position Self-Calibration from Reverberant Speech Input. International Workshop
on Acoustic Signal Enhancement (IWAENC 2012).
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone
Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International
Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian
and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone
Array Position Self-Calibration from Reverberant Speech Input.” In International
Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.
ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position
Self-Calibration from Reverberant Speech Input,” 2012.
mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant
Speech Input.” International Workshop on Acoustic Signal Enhancement (IWAENC
2012), 2012.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop
on Acoustic Signal Enhancement (IWAENC 2012), 2012.'
date_created: 2019-07-12T05:29:08Z
date_updated: 2023-10-26T08:10:52Z
department:
- _id: '54'
keyword:
- Unsupervised
- geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf
oa: '1'
publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012)
quality_controlled: '1'
related_material:
link:
- description: Video
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf
- description: Demonstrator
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf
status: public
title: Microphone Array Position Self-Calibration from Reverberant Speech Input
type: conference
user_id: '460'
year: '2012'
...
---
_id: '11925'
abstract:
- lang: eng
text: In this paper we present a system for car navigation by fusing sensor data
on an Android smartphone. The key idea is to use both the internal sensors of
the smartphone (e.g., gyroscope) and sensor data from the car (e.g., speed information)
to support navigation via GPS. To this end we employ a CAN-Bus-to-Bluetooth adapter
to establish a wireless connection between the smartphone and the CAN-Bus of the
car. On the smartphone a strapdown algorithm and an error-state Kalman filter
are used to fuse the different sensor data streams. The experimental results show
that the system is able to maintain higher positioning accuracy during GPS dropouts,
thus improving the availability and reliability, compared to GPS-only solutions.
author:
- first_name: Oliver
full_name: Walter, Oliver
last_name: Walter
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Andreas
full_name: Engler, Andreas
last_name: Engler
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Walter O, Schmalenstroeer J, Engler A, Haeb-Umbach R. Smartphone-Based Sensor
Fusion for Improved Vehicular Navigation. In: 9th Workshop on Positioning Navigation
and Communication (WPNC 2012). ; 2012.'
apa: Walter, O., Schmalenstroeer, J., Engler, A., & Haeb-Umbach, R. (2012).
Smartphone-Based Sensor Fusion for Improved Vehicular Navigation. 9th Workshop
on Positioning Navigation and Communication (WPNC 2012).
bibtex: '@inproceedings{Walter_Schmalenstroeer_Engler_Haeb-Umbach_2012, title={Smartphone-Based
Sensor Fusion for Improved Vehicular Navigation}, booktitle={9th Workshop on Positioning
Navigation and Communication (WPNC 2012)}, author={Walter, Oliver and Schmalenstroeer,
Joerg and Engler, Andreas and Haeb-Umbach, Reinhold}, year={2012} }'
chicago: Walter, Oliver, Joerg Schmalenstroeer, Andreas Engler, and Reinhold Haeb-Umbach.
“Smartphone-Based Sensor Fusion for Improved Vehicular Navigation.” In 9th
Workshop on Positioning Navigation and Communication (WPNC 2012), 2012.
ieee: O. Walter, J. Schmalenstroeer, A. Engler, and R. Haeb-Umbach, “Smartphone-Based
Sensor Fusion for Improved Vehicular Navigation,” 2012.
mla: Walter, Oliver, et al. “Smartphone-Based Sensor Fusion for Improved Vehicular
Navigation.” 9th Workshop on Positioning Navigation and Communication (WPNC
2012), 2012.
short: 'O. Walter, J. Schmalenstroeer, A. Engler, R. Haeb-Umbach, in: 9th Workshop
on Positioning Navigation and Communication (WPNC 2012), 2012.'
date_created: 2019-07-12T05:30:54Z
date_updated: 2023-10-26T08:13:27Z
department:
- _id: '54'
keyword:
- Smartphone
- navigation
- sensor fusion
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2012/WaScEnHa12.pdf
oa: '1'
publication: 9th Workshop on Positioning Navigation and Communication (WPNC 2012)
quality_controlled: '1'
status: public
title: Smartphone-Based Sensor Fusion for Improved Vehicular Navigation
type: conference
user_id: '460'
year: '2012'
...
---
_id: '11889'
abstract:
- lang: eng
text: In this paper we propose to jointly consider Segmental Dynamic Time Warping
and distance clustering for the unsupervised learning of acoustic events. As a
result, the computational complexity increases only linearly with the dababase
size compared to a quadratic increase in a sequential setup, where all pairwise
SDTW distances between segments are computed prior to clustering. Further, we
discuss options for seed value selection for clustering and show that drawing
seeds with a probability proportional to the distance from the already drawn seeds,
known as K-means++ clustering, results in a significantly higher probability of
finding representatives of each of the underlying classes, compared to the commonly
used draws from a uniform distribution. Experiments are performed on an acoustic
event classification and an isolated digit recognition task, where on the latter
the final word accuracy approaches that of supervised training.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Markus
full_name: Bartek, Markus
last_name: Bartek
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Unsupervised learning of acoustic
events using dynamic time warping and hierarchical K-means++ clustering. In: Interspeech
2011. ; 2011.'
apa: Schmalenstroeer, J., Bartek, M., & Haeb-Umbach, R. (2011). Unsupervised
learning of acoustic events using dynamic time warping and hierarchical K-means++
clustering. Interspeech 2011.
bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Unsupervised
learning of acoustic events using dynamic time warping and hierarchical K-means++
clustering}, booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and
Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }'
chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Unsupervised
Learning of Acoustic Events Using Dynamic Time Warping and Hierarchical K-Means++
Clustering.” In Interspeech 2011, 2011.
ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Unsupervised learning
of acoustic events using dynamic time warping and hierarchical K-means++ clustering,”
2011.
mla: Schmalenstroeer, Joerg, et al. “Unsupervised Learning of Acoustic Events Using
Dynamic Time Warping and Hierarchical K-Means++ Clustering.” Interspeech 2011,
2011.
short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: Interspeech 2011, 2011.'
date_created: 2019-07-12T05:30:13Z
date_updated: 2023-10-26T08:10:44Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-2.pdf
oa: '1'
publication: Interspeech 2011
quality_controlled: '1'
status: public
title: Unsupervised learning of acoustic events using dynamic time warping and hierarchical
K-means++ clustering
type: conference
user_id: '460'
year: '2011'
...
---
_id: '11896'
abstract:
- lang: eng
text: In this paper we propose a procedure for estimating the geometric configuration
of an arbitrary acoustic sensor placement. It determines the position and the
orientation of microphone arrays in 2D while locating a source by direction-of-arrival
(DoA) estimation. Neither artificial calibration signals nor unnatural user activity
are required. The problem of scale indeterminacy inherent to DoA-only observations
is solved by adding time difference of arrival (TDOA) measurements. The geometry
calibration method is numerically stable and delivers precise results in moderately
reverberated rooms. Simulation results are confirmed by laboratory experiments.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Marius
full_name: Hennecke, Marius
last_name: Hennecke
- first_name: Gernot A.
full_name: Fink, Gernot A.
last_name: Fink
citation:
ama: 'Schmalenstroeer J, Jacob F, Haeb-Umbach R, Hennecke M, Fink GA. Unsupervised
Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences.
In: Interspeech 2011. ; 2011.'
apa: Schmalenstroeer, J., Jacob, F., Haeb-Umbach, R., Hennecke, M., & Fink,
G. A. (2011). Unsupervised Geometry Calibration of Acoustic Sensor Networks Using
Source Correspondences. Interspeech 2011.
bibtex: '@inproceedings{Schmalenstroeer_Jacob_Haeb-Umbach_Hennecke_Fink_2011, title={Unsupervised
Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences},
booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and Jacob, Florian
and Haeb-Umbach, Reinhold and Hennecke, Marius and Fink, Gernot A.}, year={2011}
}'
chicago: Schmalenstroeer, Joerg, Florian Jacob, Reinhold Haeb-Umbach, Marius Hennecke,
and Gernot A. Fink. “Unsupervised Geometry Calibration of Acoustic Sensor Networks
Using Source Correspondences.” In Interspeech 2011, 2011.
ieee: J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, and G. A. Fink,
“Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences,”
2011.
mla: Schmalenstroeer, Joerg, et al. “Unsupervised Geometry Calibration of Acoustic
Sensor Networks Using Source Correspondences.” Interspeech 2011, 2011.
short: 'J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, G.A. Fink, in:
Interspeech 2011, 2011.'
date_created: 2019-07-12T05:30:21Z
date_updated: 2023-10-26T08:10:28Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/ScJaHaHeFi11.pdf
oa: '1'
publication: Interspeech 2011
quality_controlled: '1'
status: public
title: Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source
Correspondences
type: conference
user_id: '460'
year: '2011'
...
---
_id: '9456'
abstract:
- lang: eng
text: In this paper we present our experimental results about classifying audio
data into broad acoustic categories. The reverberated sound samples from indoor
recordings are grouped into four classes, namely speech, music, acoustic events
and noise. We investigated a total of 188 acoustic features and achieved for the
best configuration a classification accuracy better than 98\%. This was achieved
by a 42-dimensional feature vector consisting of Mel-Frequency Cepstral Coefficients,
an autocorrelation feature and so-called track features that measure the length
of ''traces'' of high energy in the spectrogram. We also found a 4-feature configuration
with a classification rate of about 90\% allowing for broad acoustic category
classification with low computational effort.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Markus
full_name: Bartek, Markus
last_name: Bartek
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Investigations into Features for
Robust Classification into Broad Acoustic Categories. In: 37. Deutsche Jahrestagung
Fuer Akustik (DAGA 2011). ; 2011.'
apa: Schmalenstroeer, J., Bartek, M., & Haeb-Umbach, R. (2011). Investigations
into Features for Robust Classification into Broad Acoustic Categories. 37.
Deutsche Jahrestagung Fuer Akustik (DAGA 2011).
bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Investigations
into Features for Robust Classification into Broad Acoustic Categories}, booktitle={37.
Deutsche Jahrestagung fuer Akustik (DAGA 2011)}, author={Schmalenstroeer, Joerg
and Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }'
chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Investigations
into Features for Robust Classification into Broad Acoustic Categories.” In 37.
Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011.
ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Investigations into Features
for Robust Classification into Broad Acoustic Categories,” 2011.
mla: Schmalenstroeer, Joerg, et al. “Investigations into Features for Robust Classification
into Broad Acoustic Categories.” 37. Deutsche Jahrestagung Fuer Akustik (DAGA
2011), 2011.
short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: 37. Deutsche Jahrestagung
Fuer Akustik (DAGA 2011), 2011.'
date_created: 2019-04-25T14:36:02Z
date_updated: 2023-10-26T08:15:44Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-1.pdf
oa: '1'
publication: 37. Deutsche Jahrestagung fuer Akustik (DAGA 2011)
quality_controlled: '1'
status: public
title: Investigations into Features for Robust Classification into Broad Acoustic
Categories
type: conference
user_id: '460'
year: '2011'
...
---
_id: '11892'
abstract:
- lang: eng
text: For an environment to be perceived as being smart, contextual information
has to be gathered to adapt the system's behavior and its interface towards the
user. Being a rich source of context information speech can be acquired unobtrusively
by microphone arrays and then processed to extract information about the user
and his environment. In this paper, a system for joint temporal segmentation,
speaker localization, and identification is presented, which is supported by face
identification from video data obtained from a steerable camera. Special attention
is paid to latency aspects and online processing capabilities, as they are important
for the application under investigation, namely ambient communication. It describes
the vision of terminal-less, session-less and multi-modal telecommunication with
remote partners, where the user can move freely within his home while the communication
follows him. The speaker diarization serves as a context source, which has been
integrated in a service-oriented middleware architecture and provided to the application
to select the most appropriate I/O device and to steer the camera towards the
speaker during ambient communication.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual
Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing.
2010;4(5):845-856. doi:10.1109/JSTSP.2010.2050519
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2010). Online Diarization of Streaming
Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in
Signal Processing, 4(5), 845–856. https://doi.org/10.1109/JSTSP.2010.2050519
bibtex: '@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of
Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={10.1109/JSTSP.2010.2050519},
number={5}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2010}, pages={845–856} }'
chicago: 'Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization
of Streaming Audio-Visual Data for Smart Environments.” IEEE Journal of Selected
Topics in Signal Processing 4, no. 5 (2010): 845–56. https://doi.org/10.1109/JSTSP.2010.2050519.'
ieee: 'J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual
Data for Smart Environments,” IEEE Journal of Selected Topics in Signal Processing,
vol. 4, no. 5, pp. 845–856, 2010, doi: 10.1109/JSTSP.2010.2050519.'
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming
Audio-Visual Data for Smart Environments.” IEEE Journal of Selected Topics
in Signal Processing, vol. 4, no. 5, 2010, pp. 845–56, doi:10.1109/JSTSP.2010.2050519.
short: J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal
Processing 4 (2010) 845–856.
date_created: 2019-07-12T05:30:16Z
date_updated: 2023-10-26T08:10:18Z
department:
- _id: '54'
doi: 10.1109/JSTSP.2010.2050519
intvolume: ' 4'
issue: '5'
keyword:
- audio streaming
- audio visual data streaming
- context information speech
- face identification
- face recognition
- image segmentation
- middleware
- multimodal telecommunication
- online diarization
- service oriented middleware architecture
- sessionless telecommunication
- software architecture
- speaker identification
- speaker localization
- speaker recognition
- steerable camera
- telecommunication computing
- temporal segmentation
- terminal-less telecommunication
- video streaming
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2010/ScHa10.pdf
oa: '1'
page: 845-856
publication: IEEE Journal of Selected Topics in Signal Processing
quality_controlled: '1'
status: public
title: Online Diarization of Streaming Audio-Visual Data for Smart Environments
type: journal_article
user_id: '460'
volume: 4
year: '2010'
...
---
_id: '11900'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing
for Ambient Communication. In: 1st International Workshop on Distributed Computing
in Ambient Environments within 32nd Annual Conference on Artificial Intelligence.
; 2009.'
apa: Schmalenstroeer, J., Leutnant, V., & Haeb-Umbach, R. (2009). Audio-Visual
Data Processing for Ambient Communication. 1st International Workshop on Distributed
Computing in Ambient Environments within 32nd Annual Conference on Artificial
Intelligence.
bibtex: '@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2009, title={Audio-Visual
Data Processing for Ambient Communication}, booktitle={1st International Workshop
on Distributed Computing in Ambient Environments within 32nd Annual Conference
on Artificial Intelligence}, author={Schmalenstroeer, Joerg and Leutnant, Volker
and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Audio-Visual
Data Processing for Ambient Communication.” In 1st International Workshop on
Distributed Computing in Ambient Environments within 32nd Annual Conference on
Artificial Intelligence, 2009.
ieee: J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Audio-Visual Data Processing
for Ambient Communication,” 2009.
mla: Schmalenstroeer, Joerg, et al. “Audio-Visual Data Processing for Ambient Communication.”
1st International Workshop on Distributed Computing in Ambient Environments
within 32nd Annual Conference on Artificial Intelligence, 2009.
short: 'J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: 1st International Workshop
on Distributed Computing in Ambient Environments within 32nd Annual Conference
on Artificial Intelligence, 2009.'
date_created: 2019-07-12T05:30:25Z
date_updated: 2023-11-15T15:03:08Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: schmalen
date_created: 2023-11-15T15:02:34Z
date_updated: 2023-11-15T15:02:34Z
file_id: '48934'
file_name: SchLeuHae09.pdf
file_size: 98062
relation: main_file
file_date_updated: 2023-11-15T15:02:34Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 1st International Workshop on Distributed Computing in Ambient Environments
within 32nd Annual Conference on Artificial Intelligence
quality_controlled: '1'
status: public
title: Audio-Visual Data Processing for Ambient Communication
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11806'
abstract:
- lang: eng
text: Microphone arrays represent the basis for many challenging acoustic sensing
tasks. The accuracy of techniques like beamforming directly depends on a precise
knowledge of the relative positions of the sensors used. Unfortunately, for certain
use cases manually measuring the geometry of an array is not feasible due to practical
constraints. In this paper we present an approach to unsupervised shape calibration
of microphone array networks. We developed a hierarchical procedure that first
performs local shape calibration based on coherence analysis and then employs
SRP-PHAT in a network calibration method. Practical experiments demonstrate the
effectiveness of our approach especially for highly reverberant acoustic environments.
author:
- first_name: Marius
full_name: Hennecke, Marius
last_name: Hennecke
- first_name: Thomas
full_name: Ploetz, Thomas
last_name: Ploetz
- first_name: Gernot A.
full_name: Fink, Gernot A.
last_name: Fink
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical
approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP
15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260.
doi:10.1109/SSP.2009.5278589'
apa: Hennecke, M., Ploetz, T., Fink, G. A., Schmalenstroeer, J., & Haeb-Umbach,
R. (2009). A hierarchical approach to unsupervised shape calibration of microphone
array networks. IEEE/SP 15th Workshop on Statistical Signal Processing (SSP
2009), 257–260. https://doi.org/10.1109/SSP.2009.5278589
bibtex: '@inproceedings{Hennecke_Ploetz_Fink_Schmalenstroeer_Haeb-Umbach_2009, title={A
hierarchical approach to unsupervised shape calibration of microphone array networks},
DOI={10.1109/SSP.2009.5278589},
booktitle={IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)},
author={Hennecke, Marius and Ploetz, Thomas and Fink, Gernot A. and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2009}, pages={257–260} }'
chicago: Hennecke, Marius, Thomas Ploetz, Gernot A. Fink, Joerg Schmalenstroeer,
and Reinhold Haeb-Umbach. “A Hierarchical Approach to Unsupervised Shape Calibration
of Microphone Array Networks.” In IEEE/SP 15th Workshop on Statistical Signal
Processing (SSP 2009), 257–60, 2009. https://doi.org/10.1109/SSP.2009.5278589.
ieee: 'M. Hennecke, T. Ploetz, G. A. Fink, J. Schmalenstroeer, and R. Haeb-Umbach,
“A hierarchical approach to unsupervised shape calibration of microphone array
networks,” in IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009),
2009, pp. 257–260, doi: 10.1109/SSP.2009.5278589.'
mla: Hennecke, Marius, et al. “A Hierarchical Approach to Unsupervised Shape Calibration
of Microphone Array Networks.” IEEE/SP 15th Workshop on Statistical Signal
Processing (SSP 2009), 2009, pp. 257–60, doi:10.1109/SSP.2009.5278589.
short: 'M. Hennecke, T. Ploetz, G.A. Fink, J. Schmalenstroeer, R. Haeb-Umbach, in:
IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–260.'
date_created: 2019-07-12T05:28:37Z
date_updated: 2023-10-26T08:09:22Z
department:
- _id: '54'
doi: 10.1109/SSP.2009.5278589
keyword:
- acoustic sensing tasks
- array geometry
- calibration
- coherence analysis
- hierarchical procedure
- local shape calibration
- microphone array networks
- microphone arrays
- network calibration method
- sensor arrays
- SRP-PHAT
- unsupervised shape calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/HePlFiScHa09.pdf
oa: '1'
page: 257-260
publication: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)
quality_controlled: '1'
status: public
title: A hierarchical approach to unsupervised shape calibration of microphone array
networks
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11899'
abstract:
- lang: eng
text: In this paper we present a system for identifying and localizingspeakers using
distant microphone arrays and a steerablepan-tilt-zoom camera. Audio and video
streams are processedin real-time to obtain the diarization information {grqq}who
speakswhen and where'' with low latency to be used in advanced videoconferencing
systems or user-adaptive interfaces. A key featureof the proposed system is to
first glean information about thespeaker{\rq}s location and identity from the
audio and visual datastreams separately and then to fuse these data in a probabilisticframework
employing the Viterbi algorithm. Here, visual evidenceof a person is utilized
through a priori state probabilities,while location and speaker change information
are employedvia time-variant transition probablities. Experiments show thatvideo
information yields a substantial improvement comparedto pure audio-based diarization.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Martin
full_name: Kelling, Martin
last_name: Kelling
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Kelling M, Leutnant V, Haeb-Umbach R. Fusing Audio and
Video Information for Online Speaker Diarization. In: Interspeech 2009.
; 2009.'
apa: Schmalenstroeer, J., Kelling, M., Leutnant, V., & Haeb-Umbach, R. (2009).
Fusing Audio and Video Information for Online Speaker Diarization. Interspeech
2009.
bibtex: '@inproceedings{Schmalenstroeer_Kelling_Leutnant_Haeb-Umbach_2009, title={Fusing
Audio and Video Information for Online Speaker Diarization}, booktitle={Interspeech
2009}, author={Schmalenstroeer, Joerg and Kelling, Martin and Leutnant, Volker
and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Schmalenstroeer, Joerg, Martin Kelling, Volker Leutnant, and Reinhold Haeb-Umbach.
“Fusing Audio and Video Information for Online Speaker Diarization.” In Interspeech
2009, 2009.
ieee: J. Schmalenstroeer, M. Kelling, V. Leutnant, and R. Haeb-Umbach, “Fusing Audio
and Video Information for Online Speaker Diarization,” 2009.
mla: Schmalenstroeer, Joerg, et al. “Fusing Audio and Video Information for Online
Speaker Diarization.” Interspeech 2009, 2009.
short: 'J. Schmalenstroeer, M. Kelling, V. Leutnant, R. Haeb-Umbach, in: Interspeech
2009, 2009.'
date_created: 2019-07-12T05:30:24Z
date_updated: 2023-10-26T08:10:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/ScKeLeHa09.pdf
oa: '1'
publication: Interspeech 2009
quality_controlled: '1'
status: public
title: Fusing Audio and Video Information for Online Speaker Diarization
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11893'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Joint Speaker Segmentation, Localization
and Identification for Streaming Audio. In: Interspeech 2007. ; 2007.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2007). Joint Speaker Segmentation,
Localization and Identification for Streaming Audio. Interspeech 2007.
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2007, title={Joint Speaker Segmentation,
Localization and Identification for Streaming Audio}, booktitle={Interspeech 2007},
author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2007} }'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Joint Speaker Segmentation,
Localization and Identification for Streaming Audio.” In Interspeech 2007,
2007.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Joint Speaker Segmentation, Localization
and Identification for Streaming Audio,” 2007.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Joint Speaker Segmentation,
Localization and Identification for Streaming Audio.” Interspeech 2007,
2007.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2007, 2007.'
date_created: 2019-07-12T05:30:17Z
date_updated: 2023-10-26T08:10:02Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2007/ScHa07.pdf
oa: '1'
publication: Interspeech 2007
quality_controlled: '1'
status: public
title: Joint Speaker Segmentation, Localization and Identification for Streaming Audio
type: conference
user_id: '460'
year: '2007'
...
---
_id: '11901'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Amigo Context Management Service
with Applications in Ambient Communication Scenarios. In: AMI-07 - European
Conference on Ambient Intelligence. ; 2007.'
apa: Schmalenstroeer, J., Leutnant, V., & Haeb-Umbach, R. (2007). Amigo Context
Management Service with Applications in Ambient Communication Scenarios. AMI-07
- European Conference on Ambient Intelligence.
bibtex: '@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2007, title={Amigo
Context Management Service with Applications in Ambient Communication Scenarios},
booktitle={AMI-07 - European Conference on Ambient Intelligence}, author={Schmalenstroeer,
Joerg and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2007} }'
chicago: Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Amigo
Context Management Service with Applications in Ambient Communication Scenarios.”
In AMI-07 - European Conference on Ambient Intelligence, 2007.
ieee: J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Amigo Context Management
Service with Applications in Ambient Communication Scenarios,” 2007.
mla: Schmalenstroeer, Joerg, et al. “Amigo Context Management Service with Applications
in Ambient Communication Scenarios.” AMI-07 - European Conference on Ambient
Intelligence, 2007.
short: 'J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: AMI-07 - European Conference
on Ambient Intelligence, 2007.'
date_created: 2019-07-12T05:30:27Z
date_updated: 2023-10-26T08:13:09Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2007/ScLeHa07.pdf
oa: '1'
publication: AMI-07 - European Conference on Ambient Intelligence
quality_controlled: '1'
status: public
title: Amigo Context Management Service with Applications in Ambient Communication
Scenarios
type: conference
user_id: '460'
year: '2007'
...
---
_id: '11933'
author:
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Warsitz E, Haeb-Umbach R, Schmalenstroeer J. Zweistufige Sprache/Pause-Detektion
in stark gestoerter Umgebung. In: 33. Deutsche Jahrestagung Fuer Akustik (DAGA
2007). ; 2007.'
apa: Warsitz, E., Haeb-Umbach, R., & Schmalenstroeer, J. (2007). Zweistufige
Sprache/Pause-Detektion in stark gestoerter Umgebung. 33. Deutsche Jahrestagung
Fuer Akustik (DAGA 2007).
bibtex: '@inproceedings{Warsitz_Haeb-Umbach_Schmalenstroeer_2007, title={Zweistufige
Sprache/Pause-Detektion in stark gestoerter Umgebung}, booktitle={33. Deutsche
Jahrestagung fuer Akustik (DAGA 2007)}, author={Warsitz, Ernst and Haeb-Umbach,
Reinhold and Schmalenstroeer, Joerg}, year={2007} }'
chicago: Warsitz, Ernst, Reinhold Haeb-Umbach, and Joerg Schmalenstroeer. “Zweistufige
Sprache/Pause-Detektion in Stark Gestoerter Umgebung.” In 33. Deutsche Jahrestagung
Fuer Akustik (DAGA 2007), 2007.
ieee: E. Warsitz, R. Haeb-Umbach, and J. Schmalenstroeer, “Zweistufige Sprache/Pause-Detektion
in stark gestoerter Umgebung,” 2007.
mla: Warsitz, Ernst, et al. “Zweistufige Sprache/Pause-Detektion in Stark Gestoerter
Umgebung.” 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.
short: 'E. Warsitz, R. Haeb-Umbach, J. Schmalenstroeer, in: 33. Deutsche Jahrestagung
Fuer Akustik (DAGA 2007), 2007.'
date_created: 2019-07-12T05:31:04Z
date_updated: 2023-10-26T08:12:49Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2007/WaHaSc07.pdf
oa: '1'
publication: 33. Deutsche Jahrestagung fuer Akustik (DAGA 2007)
quality_controlled: '1'
status: public
title: Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung
type: conference
user_id: '460'
year: '2007'
...
---
_id: '11902'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Warsitz E, Haeb-Umbach R. Projekt Amigo - Sprachsignalverarbeitung
im vernetzten Haus. In: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007).
; 2007.'
apa: Schmalenstroeer, J., Warsitz, E., & Haeb-Umbach, R. (2007). Projekt Amigo
- Sprachsignalverarbeitung im vernetzten Haus. 33. Deutsche Jahrestagung Fuer
Akustik (DAGA 2007).
bibtex: '@inproceedings{Schmalenstroeer_Warsitz_Haeb-Umbach_2007, title={Projekt
Amigo - Sprachsignalverarbeitung im vernetzten Haus}, booktitle={33. Deutsche
Jahrestagung fuer Akustik (DAGA 2007)}, author={Schmalenstroeer, Joerg and Warsitz,
Ernst and Haeb-Umbach, Reinhold}, year={2007} }'
chicago: Schmalenstroeer, Joerg, Ernst Warsitz, and Reinhold Haeb-Umbach. “Projekt
Amigo - Sprachsignalverarbeitung Im Vernetzten Haus.” In 33. Deutsche Jahrestagung
Fuer Akustik (DAGA 2007), 2007.
ieee: J. Schmalenstroeer, E. Warsitz, and R. Haeb-Umbach, “Projekt Amigo - Sprachsignalverarbeitung
im vernetzten Haus,” 2007.
mla: Schmalenstroeer, Joerg, et al. “Projekt Amigo - Sprachsignalverarbeitung Im
Vernetzten Haus.” 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.
short: 'J. Schmalenstroeer, E. Warsitz, R. Haeb-Umbach, in: 33. Deutsche Jahrestagung
Fuer Akustik (DAGA 2007), 2007.'
date_created: 2019-07-12T05:30:28Z
date_updated: 2023-10-26T08:13:01Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2007/ScWaHa07.pdf
oa: '1'
publication: 33. Deutsche Jahrestagung fuer Akustik (DAGA 2007)
quality_controlled: '1'
status: public
title: Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus
type: conference
user_id: '460'
year: '2007'
...
---
_id: '11894'
abstract:
- lang: eng
text: In this paper we consider the problem of detecting speaker changes in audio
signals recorded by distant microphones. It is shown that the possibility to exploit
the spatial separation of speakers more than makes up the degradation in detection
accuracy due to the increased source-to-sensor distance compared to close-talking
microphones. Speaker direction information is derived from the filter coefficients
of an adaptive Filter-and-Sum Beamformer and is combined with BIC analysis. The
experimental results reveal significant improvements compared to BIC-only change
detection, be it with the distant or close-talking microphone.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Haeb-Umbach R. Online Speaker Change Detection by Combining
BIC with Microphone Array Beamforming. In: Interspeech 2006. ; 2006.'
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2006). Online Speaker Change Detection
by Combining BIC with Microphone Array Beamforming. Interspeech 2006.
bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2006, title={Online Speaker
Change Detection by Combining BIC with Microphone Array Beamforming}, booktitle={Interspeech
2006}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2006}
}'
chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Speaker Change
Detection by Combining BIC with Microphone Array Beamforming.” In Interspeech
2006, 2006.
ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Online Speaker Change Detection by
Combining BIC with Microphone Array Beamforming,” 2006.
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Speaker Change Detection
by Combining BIC with Microphone Array Beamforming.” Interspeech 2006,
2006.
short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2006, 2006.'
date_created: 2019-07-12T05:30:19Z
date_updated: 2023-10-26T08:09:54Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2006/ScHa06.pdf
oa: '1'
publication: Interspeech 2006
quality_controlled: '1'
status: public
title: Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming
type: conference
user_id: '460'
year: '2006'
...
---
_id: '11802'
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Haeb-Umbach R, Schmalenstroeer J. Speech Processing in the Networked Home
Environment - A View on the Amigo Project. In: Interspeech 2005. ; 2005.'
apa: Haeb-Umbach, R., & Schmalenstroeer, J. (2005). Speech Processing in the
Networked Home Environment - A View on the Amigo Project. Interspeech 2005.
bibtex: '@inproceedings{Haeb-Umbach_Schmalenstroeer_2005, place={Lisboa}, title={Speech
Processing in the Networked Home Environment - A View on the Amigo Project}, booktitle={Interspeech
2005}, author={Haeb-Umbach, Reinhold and Schmalenstroeer, Joerg}, year={2005}
}'
chicago: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “Speech Processing in
the Networked Home Environment - A View on the Amigo Project.” In Interspeech
2005. Lisboa, 2005.
ieee: R. Haeb-Umbach and J. Schmalenstroeer, “Speech Processing in the Networked
Home Environment - A View on the Amigo Project,” 2005.
mla: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “Speech Processing in the
Networked Home Environment - A View on the Amigo Project.” Interspeech 2005,
2005.
short: 'R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, Lisboa, 2005.'
date_created: 2019-07-12T05:28:32Z
date_updated: 2023-10-26T08:09:00Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2005/HaSc05-2.pdf
oa: '1'
place: Lisboa
publication: Interspeech 2005
quality_controlled: '1'
status: public
title: Speech Processing in the Networked Home Environment - A View on the Amigo Project
type: conference
user_id: '460'
year: '2005'
...
---
_id: '11801'
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Haeb-Umbach R, Schmalenstroeer J. A Comparison of Particle Filtering Variants
for Speech Feature Enhancement. In: Interspeech 2005. ; 2005.'
apa: Haeb-Umbach, R., & Schmalenstroeer, J. (2005). A Comparison of Particle
Filtering Variants for Speech Feature Enhancement. Interspeech 2005.
bibtex: '@inproceedings{Haeb-Umbach_Schmalenstroeer_2005, title={A Comparison of
Particle Filtering Variants for Speech Feature Enhancement}, booktitle={Interspeech
2005}, author={Haeb-Umbach, Reinhold and Schmalenstroeer, Joerg}, year={2005}
}'
chicago: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “A Comparison of Particle
Filtering Variants for Speech Feature Enhancement.” In Interspeech 2005,
2005.
ieee: R. Haeb-Umbach and J. Schmalenstroeer, “A Comparison of Particle Filtering
Variants for Speech Feature Enhancement,” 2005.
mla: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “A Comparison of Particle
Filtering Variants for Speech Feature Enhancement.” Interspeech 2005, 2005.
short: 'R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, 2005.'
date_created: 2019-07-12T05:28:31Z
date_updated: 2023-10-26T08:09:13Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2005/HaSc05-1.pdf
oa: '1'
publication: Interspeech 2005
quality_controlled: '1'
status: public
title: A Comparison of Particle Filtering Variants for Speech Feature Enhancement
type: conference
user_id: '460'
year: '2005'
...