---
_id: '57031'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Adrian Tobias
full_name: Meise, Adrian Tobias
id: '79268'
last_name: Meise
- 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, Meise AT, Schmalenstroeer J, Haeb-Umbach R. Diminishing Domain
Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation
Models. In: 2024 18th International Workshop on Acoustic Signal Enhancement
(IWAENC). IEEE; 2024. doi:10.1109/iwaenc61483.2024.10694103'
apa: Gburrek, T., Meise, A. T., Schmalenstroeer, J., & Haeb-Umbach, R. (2024).
Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic
Room Reverberation Models. 2024 18th International Workshop on Acoustic Signal
Enhancement (IWAENC). https://doi.org/10.1109/iwaenc61483.2024.10694103
bibtex: '@inproceedings{Gburrek_Meise_Schmalenstroeer_Haeb-Umbach_2024, title={Diminishing
Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room
Reverberation Models}, DOI={10.1109/iwaenc61483.2024.10694103},
booktitle={2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)},
publisher={IEEE}, author={Gburrek, Tobias and Meise, Adrian Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: Gburrek, Tobias, Adrian Tobias Meise, Joerg Schmalenstroeer, and Reinhold
Haeb-Umbach. “Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation
via Stochastic Room Reverberation Models.” In 2024 18th International Workshop
on Acoustic Signal Enhancement (IWAENC). IEEE, 2024. https://doi.org/10.1109/iwaenc61483.2024.10694103.
ieee: 'T. Gburrek, A. T. Meise, J. Schmalenstroeer, and R. Haeb-Umbach, “Diminishing
Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room
Reverberation Models,” 2024, doi: 10.1109/iwaenc61483.2024.10694103.'
mla: Gburrek, Tobias, et al. “Diminishing Domain Mismatch for DNN-Based Acoustic
Distance Estimation via Stochastic Room Reverberation Models.” 2024 18th International
Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2024, doi:10.1109/iwaenc61483.2024.10694103.
short: 'T. Gburrek, A.T. Meise, J. Schmalenstroeer, R. Haeb-Umbach, in: 2024 18th
International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2024.'
date_created: 2024-11-13T08:39:57Z
date_updated: 2026-01-05T16:28:23Z
ddc:
- '006'
department:
- _id: '54'
doi: 10.1109/iwaenc61483.2024.10694103
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2024-11-13T08:42:13Z
date_updated: 2024-11-13T08:42:13Z
file_id: '57033'
file_name: dist_est_iwaenc24_gburrek.pdf
file_size: 300589
relation: main_file
file_date_updated: 2024-11-13T08:42:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via
Stochastic Room Reverberation Models
type: conference
user_id: '44006'
year: '2024'
...
---
_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: 2025-02-12T09:03:42Z
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'
- _id: '508'
grant_number: '448568305'
name: Automatische Transkription von Gesprächssituationen
publisher: arXiv
status: public
title: A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
type: misc
user_id: '40767'
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: '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'
...