---
_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: <i>2022 International Wireless Communications
    and Mobile Computing (IWCMC)</i>. IEEE; 2022. doi:<a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">10.1109/iwcmc55113.2022.9824980</a>'
  apa: Afifi, H., Karl, H., Gburrek, T., &#38; Schmalenstroeer, J. (2022). Data-driven
    Time Synchronization in Wireless Multimedia Networks. <i>2022 International Wireless
    Communications and Mobile Computing (IWCMC)</i>. <a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">https://doi.org/10.1109/iwcmc55113.2022.9824980</a>
  bibtex: '@inproceedings{Afifi_Karl_Gburrek_Schmalenstroeer_2022, title={Data-driven
    Time Synchronization in Wireless Multimedia Networks}, DOI={<a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">10.1109/iwcmc55113.2022.9824980</a>},
    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 <i>2022
    International Wireless Communications and Mobile Computing (IWCMC)</i>. IEEE,
    2022. <a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">https://doi.org/10.1109/iwcmc55113.2022.9824980</a>.
  ieee: 'H. Afifi, H. Karl, T. Gburrek, and J. Schmalenstroeer, “Data-driven Time
    Synchronization in Wireless Multimedia Networks,” 2022, doi: <a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">10.1109/iwcmc55113.2022.9824980</a>.'
  mla: Afifi, Haitham, et al. “Data-Driven Time Synchronization in Wireless Multimedia
    Networks.” <i>2022 International Wireless Communications and Mobile Computing
    (IWCMC)</i>, IEEE, 2022, doi:<a href="https://doi.org/10.1109/iwcmc55113.2022.9824980">10.1109/iwcmc55113.2022.9824980</a>.
  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: <i>ICASSP 2022 - 2022 IEEE International Conference on
    Acoustics, Speech and Signal Processing (ICASSP)</i>. IEEE; 2022. doi:<a href="https://doi.org/10.1109/icassp43922.2022.9746284">10.1109/icassp43922.2022.9746284</a>'
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2022). On Synchronization
    of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
    Rate Offsets and Speaker Changes. <i>ICASSP 2022 - 2022 IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP)</i>. <a href="https://doi.org/10.1109/icassp43922.2022.9746284">https://doi.org/10.1109/icassp43922.2022.9746284</a>
  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={<a href="https://doi.org/10.1109/icassp43922.2022.9746284">10.1109/icassp43922.2022.9746284</a>},
    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 <i>ICASSP 2022 - 2022 IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. IEEE, 2022.
    <a href="https://doi.org/10.1109/icassp43922.2022.9746284">https://doi.org/10.1109/icassp43922.2022.9746284</a>.
  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: <a href="https://doi.org/10.1109/icassp43922.2022.9746284">10.1109/icassp43922.2022.9746284</a>.'
  mla: Gburrek, Tobias, et al. “On Synchronization of Wireless Acoustic Sensor Networks
    in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes.” <i>ICASSP
    2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>, IEEE, 2022, doi:<a href="https://doi.org/10.1109/icassp43922.2022.9746284">10.1109/icassp43922.2022.9746284</a>.
  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:
    <i>2022 International Workshop on Acoustic Signal Enhancement (IWAENC)</i>. IEEE;
    2022. doi:<a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">10.1109/IWAENC53105.2022.9914772</a>'
  apa: Gburrek, T., Schmalenstroeer, J., Heitkaemper, J., &#38; Haeb-Umbach, R. (2022).
    Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting
    Transcription. <i>2022 International Workshop on Acoustic Signal Enhancement (IWAENC)</i>.
    17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022),  Bamberg,
    Germany . <a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">https://doi.org/10.1109/IWAENC53105.2022.9914772</a>
  bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Heitkaemper_Haeb-Umbach_2022, title={Informed
    vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription},
    DOI={<a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">10.1109/IWAENC53105.2022.9914772</a>},
    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 <i>2022 International Workshop on Acoustic Signal
    Enhancement (IWAENC)</i>. IEEE, 2022. <a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">https://doi.org/10.1109/IWAENC53105.2022.9914772</a>.
  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: <a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">10.1109/IWAENC53105.2022.9914772</a>.'
  mla: Gburrek, Tobias, et al. “Informed vs. Blind Beamforming in Ad-Hoc Acoustic
    Sensor Networks for Meeting Transcription.” <i>2022 International Workshop on
    Acoustic Signal Enhancement (IWAENC)</i>, IEEE, 2022, doi:<a href="https://doi.org/10.1109/IWAENC53105.2022.9914772">10.1109/IWAENC53105.2022.9914772</a>.
  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. <i>A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
    Network</i>. arXiv; 2022. doi:<a href="https://doi.org/10.48550/ARXIV.2205.00944">10.48550/ARXIV.2205.00944</a>
  apa: Gburrek, T., Boeddeker, C., von Neumann, T., Cord-Landwehr, T., Schmalenstroeer,
    J., &#38; Haeb-Umbach, R. (2022). <i>A Meeting Transcription System for an Ad-Hoc
    Acoustic Sensor Network</i>. arXiv. <a href="https://doi.org/10.48550/ARXIV.2205.00944">https://doi.org/10.48550/ARXIV.2205.00944</a>
  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={<a href="https://doi.org/10.48550/ARXIV.2205.00944">10.48550/ARXIV.2205.00944</a>},
    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. <i>A Meeting Transcription System
    for an Ad-Hoc Acoustic Sensor Network</i>. arXiv, 2022. <a href="https://doi.org/10.48550/ARXIV.2205.00944">https://doi.org/10.48550/ARXIV.2205.00944</a>.
  ieee: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer,
    and R. Haeb-Umbach, <i>A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
    Network</i>. arXiv, 2022.
  mla: Gburrek, Tobias, et al. <i>A Meeting Transcription System for an Ad-Hoc Acoustic
    Sensor Network</i>. arXiv, 2022, doi:<a href="https://doi.org/10.48550/ARXIV.2205.00944">10.48550/ARXIV.2205.00944</a>.
  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: <i>Speech
    Communication; 14th ITG-Symposium</i>. ; 2021:1-5.'
  apa: Heitkaemper, J., Schmalenstroeer, J., Ion, V., &#38; Haeb-Umbach, R. (2021).
    A Database for Research on Detection and Enhancement of Speech Transmitted over
    HF links. <i>Speech Communication; 14th ITG-Symposium</i>, 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 <i>Speech Communication; 14th ITG-Symposium</i>, 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 <i>Speech Communication; 14th ITG-Symposium</i>, 2021, pp. 1–5.
  mla: Heitkaemper, Jens, et al. “A Database for Research on Detection and Enhancement
    of Speech Transmitted over HF Links.” <i>Speech Communication; 14th ITG-Symposium</i>,
    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: <i>29th European Signal Processing Conference (EUSIPCO)</i>. ; 2021:1-5.'
  apa: Schmalenstroeer, J., Heitkaemper, J., Ullmann, J., &#38; Haeb-Umbach, R. (2021).
    Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF
    Transmitted Speech. <i>29th European Signal Processing Conference (EUSIPCO)</i>,
    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 <i>29th European Signal Processing Conference (EUSIPCO)</i>,
    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 <i>29th European Signal Processing Conference (EUSIPCO)</i>, 2021,
    pp. 1–5.
  mla: Schmalenstroeer, Joerg, et al. “Open Range Pitch Tracking for Carrier Frequency
    Difference Estimation from HF Transmitted Speech.” <i>29th European Signal Processing
    Conference (EUSIPCO)</i>, 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. <i>EURASIP Journal
    on Audio, Speech, and Music Processing</i>. Published online 2021. doi:<a href="https://doi.org/10.1186/s13636-021-00210-x">10.1186/s13636-021-00210-x</a>
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2021). Geometry calibration
    in wireless acoustic sensor networks utilizing DoA and distance information. <i>EURASIP
    Journal on Audio, Speech, and Music Processing</i>. <a href="https://doi.org/10.1186/s13636-021-00210-x">https://doi.org/10.1186/s13636-021-00210-x</a>
  bibtex: '@article{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Geometry calibration
    in wireless acoustic sensor networks utilizing DoA and distance information},
    DOI={<a href="https://doi.org/10.1186/s13636-021-00210-x">10.1186/s13636-021-00210-x</a>},
    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.”
    <i>EURASIP Journal on Audio, Speech, and Music Processing</i>, 2021. <a href="https://doi.org/10.1186/s13636-021-00210-x">https://doi.org/10.1186/s13636-021-00210-x</a>.
  ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Geometry calibration
    in wireless acoustic sensor networks utilizing DoA and distance information,”
    <i>EURASIP Journal on Audio, Speech, and Music Processing</i>, 2021, doi: <a href="https://doi.org/10.1186/s13636-021-00210-x">10.1186/s13636-021-00210-x</a>.'
  mla: Gburrek, Tobias, et al. “Geometry Calibration in Wireless Acoustic Sensor Networks
    Utilizing DoA and Distance Information.” <i>EURASIP Journal on Audio, Speech,
    and Music Processing</i>, 2021, doi:<a href="https://doi.org/10.1186/s13636-021-00210-x">10.1186/s13636-021-00210-x</a>.
  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: <i>ICASSP 2021
    - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>. ; 2021. doi:<a href="https://doi.org/10.1109/icassp39728.2021.9413831">10.1109/icassp39728.2021.9413831</a>'
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2021). Iterative Geometry
    Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. <i>ICASSP
    2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>. <a href="https://doi.org/10.1109/icassp39728.2021.9413831">https://doi.org/10.1109/icassp39728.2021.9413831</a>
  bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Iterative
    Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks},
    DOI={<a href="https://doi.org/10.1109/icassp39728.2021.9413831">10.1109/icassp39728.2021.9413831</a>},
    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 <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and
    Signal Processing (ICASSP)</i>, 2021. <a href="https://doi.org/10.1109/icassp39728.2021.9413831">https://doi.org/10.1109/icassp39728.2021.9413831</a>.
  ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Iterative Geometry Calibration
    from Distance Estimates for Wireless Acoustic Sensor Networks,” 2021, doi: <a
    href="https://doi.org/10.1109/icassp39728.2021.9413831">10.1109/icassp39728.2021.9413831</a>.'
  mla: Gburrek, Tobias, et al. “Iterative Geometry Calibration from Distance Estimates
    for Wireless Acoustic Sensor Networks.” <i>ICASSP 2021 - 2021 IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021, doi:<a
    href="https://doi.org/10.1109/icassp39728.2021.9413831">10.1109/icassp39728.2021.9413831</a>.
  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: <i>Speech Communication;
    14th ITG-Symposium</i>. ; 2021:1-5.'
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2021). On Source-Microphone
    Distance Estimation Using Convolutional Recurrent Neural Networks. <i>Speech Communication;
    14th ITG-Symposium</i>, 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 <i>Speech
    Communication; 14th ITG-Symposium</i>, 1–5, 2021.
  ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Source-Microphone
    Distance Estimation Using Convolutional Recurrent Neural Networks,” in <i>Speech
    Communication; 14th ITG-Symposium</i>, 2021, pp. 1–5.
  mla: Gburrek, Tobias, et al. “On Source-Microphone Distance Estimation Using Convolutional
    Recurrent Neural Networks.” <i>Speech Communication; 14th ITG-Symposium</i>, 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: <i>29th
    European Signal Processing Conference (EUSIPCO)</i>. ; 2021:1-5.'
  apa: Chinaev, A., Enzner, G., Gburrek, T., &#38; Schmalenstroeer, J. (2021). Online
    Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with
    Packet Loss. <i>29th European Signal Processing Conference (EUSIPCO)</i>, 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 <i>29th European Signal Processing Conference (EUSIPCO)</i>,
    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 <i>29th European Signal Processing Conference (EUSIPCO)</i>, 2021, pp. 1–5.
  mla: Chinaev, Aleksej, et al. “Online Estimation of Sampling Rate Offsets in Wireless
    Acoustic Sensor Networks with Packet Loss.” <i>29th European Signal Processing
    Conference (EUSIPCO)</i>, 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: <i>INTERSPEECH
    2020 Virtual Shanghai China</i>. ; 2020.'
  apa: Heitkaemper, J., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2020). Statistical
    and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
    Environments. <i>INTERSPEECH 2020 Virtual Shanghai China</i>.
  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 <i>INTERSPEECH 2020 Virtual Shanghai China</i>, 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.” <i>INTERSPEECH 2020 Virtual
    Shanghai China</i>, 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: <i>European Signal Processing Conference (EUSIPCO)</i>. ;
    2020.'
  apa: Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., &#38; Haeb-Umbach,
    R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration
    in Acoustic Sensor Network. <i>European Signal Processing Conference (EUSIPCO)</i>.
  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 <i>European Signal Processing Conference
    (EUSIPCO)</i>, 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.” <i>European Signal Processing
    Conference (EUSIPCO)</i>, 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: <i>Proc. CHiME
    2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India</i>.
    ; 2018.'
  apa: Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J.,
    &#38; Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party
    Scenario. <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
    Hyderabad, India</i>.
  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 <i>Proc. CHiME 2018 Workshop on Speech Processing in
    Everyday Environments, Hyderabad, India</i>, 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.” <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
    Hyderabad, India</i>, 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: <i>Speech
    Communication; 13th ITG-Symposium</i>. ; 2018:1-5.'
  apa: Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., &#38; Karl, H.
    (2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor
    Networks. <i>Speech Communication; 13th ITG-Symposium</i>, 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 <i>Speech Communication; 13th ITG-Symposium</i>, 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
    <i>Speech Communication; 13th ITG-Symposium</i>, 2018, pp. 1–5.
  mla: Afifi, Haitham, et al. “MARVELO - A Framework for Signal Processing in Wireless
    Acoustic Sensor Networks.” <i>Speech Communication; 13th ITG-Symposium</i>, 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: <i>26th European Signal Processing Conference
    (EUSIPCO 2018)</i>. ; 2018.'
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2018). Efficient Sampling Rate
    Offset Compensation - An Overlap-Save Based Approach. <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>.
  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 <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>, 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.” <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>, 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: <i>Proc. CHiME 2018 Workshop on Speech Processing
    in Everyday Environments, Hyderabad, India</i>. ; 2018.'
  apa: Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter,
    R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., &#38; Haeb-Umbach, R.
    (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. <i>Proc.
    CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
    India</i>.
  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 <i>Proc. CHiME 2018 Workshop on Speech Processing
    in Everyday Environments, Hyderabad, India</i>, 2018.
  ieee: M. Kitza <i>et al.</i>, “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.”
    <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
    India</i>, 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: <i>ITG 2018, Oldenburg,
    Germany</i>. ; 2018.'
  apa: Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2018).
    Benchmarking Neural Network Architectures for Acoustic Sensor Networks. <i>ITG
    2018, Oldenburg, Germany</i>.
  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 <i>ITG
    2018, Oldenburg, Germany</i>, 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.” <i>ITG 2018, Oldenburg, Germany</i>, 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: <i>ITG 2018, Oldenburg, Germany</i>. ;
    2018.'
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2018). Insights into the Interplay
    of Sampling Rate Offsets and MVDR Beamforming. <i>ITG 2018, Oldenburg, Germany</i>.
  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 <i>ITG 2018, Oldenburg, Germany</i>,
    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.” <i>ITG 2018, Oldenburg, Germany</i>,
    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: '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: <i>Speech Communication; 13th ITG-Symposium</i>. ; 2018:1-5.'
  apa: Schmalenstroeer, J., Chinaev, A., &#38; Enzner, G. (2018). Fast and Accurate
    Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
    FFT Realization. <i>Speech Communication; 13th ITG-Symposium</i>, 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 <i>Speech Communication; 13th ITG-Symposium</i>, 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 <i>Speech Communication; 13th ITG-Symposium</i>, 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.” <i>Speech Communication;
    13th ITG-Symposium</i>, 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: 2024-11-14T09:42:35Z
department:
- _id: '54'
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: '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., &#38; 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. <i>Building or Enclosure Termination
    Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure
    Termination</i>. 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'
...