---
_id: '33847'
abstract:
- lang: eng
  text: "The scope of speech enhancement has changed from a monolithic view of single,\r\nindependent
    tasks, to a joint processing of complex conversational speech\r\nrecordings. Training
    and evaluation of these single tasks requires synthetic\r\ndata with access to
    intermediate signals that is as close as possible to the\r\nevaluation scenario.
    As such data often is not available, many works instead\r\nuse specialized databases
    for the training of each system component, e.g\r\nWSJ0-mix for source separation.
    We present a Multi-purpose Multi-Speaker\r\nMixture Signal Generator (MMS-MSG)
    for generating a variety of speech mixture\r\nsignals based on any speech corpus,
    ranging from classical anechoic mixtures\r\n(e.g., WSJ0-mix) over reverberant
    mixtures (e.g., SMS-WSJ) to meeting-style\r\ndata. Its highly modular and flexible
    structure allows for the simulation of\r\ndiverse environments and dynamic mixing,
    while simultaneously enabling an easy\r\nextension and modification to generate
    new scenarios and mixture types. These\r\nmeetings can be used for prototyping,
    evaluation, or training purposes. We\r\nprovide example evaluation data and baseline
    results for meetings based on the\r\nWSJ corpus. Further, we demonstrate the usefulness
    for realistic scenarios by\r\nusing MMS-MSG to provide training data for the LibriCSS
    database."
author:
- first_name: Tobias
  full_name: Cord-Landwehr, Tobias
  id: '44393'
  last_name: Cord-Landwehr
- first_name: Thilo
  full_name: von Neumann, Thilo
  id: '49870'
  last_name: von Neumann
  orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Cord-Landwehr T, von Neumann T, Boeddeker C, Haeb-Umbach R. MMS-MSG: A Multi-purpose
    Multi-Speaker Mixture Signal Generator. In: <i>2022 International Workshop on
    Acoustic Signal Enhancement (IWAENC)</i>. ; 2022.'
  apa: 'Cord-Landwehr, T., von Neumann, T., Boeddeker, C., &#38; Haeb-Umbach, R. (2022).
    MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. <i>2022 International
    Workshop on Acoustic Signal Enhancement (IWAENC)</i>. 2022 International Workshop
    on Acoustic Signal Enhancement (IWAENC), Bamberg.'
  bibtex: '@inproceedings{Cord-Landwehr_von Neumann_Boeddeker_Haeb-Umbach_2022, title={MMS-MSG:
    A Multi-purpose Multi-Speaker Mixture Signal Generator}, booktitle={2022 International
    Workshop on Acoustic Signal Enhancement (IWAENC)}, author={Cord-Landwehr, Tobias
    and von Neumann, Thilo and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2022}
    }'
  chicago: 'Cord-Landwehr, Tobias, Thilo von Neumann, Christoph Boeddeker, and Reinhold
    Haeb-Umbach. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.”
    In <i>2022 International Workshop on Acoustic Signal Enhancement (IWAENC)</i>,
    2022.'
  ieee: 'T. Cord-Landwehr, T. von Neumann, C. Boeddeker, and R. Haeb-Umbach, “MMS-MSG:
    A Multi-purpose Multi-Speaker Mixture Signal Generator,” presented at the 2022
    International Workshop on Acoustic Signal Enhancement (IWAENC), Bamberg, 2022.'
  mla: 'Cord-Landwehr, Tobias, et al. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture
    Signal Generator.” <i>2022 International Workshop on Acoustic Signal Enhancement
    (IWAENC)</i>, 2022.'
  short: 'T. Cord-Landwehr, T. von Neumann, C. Boeddeker, R. Haeb-Umbach, in: 2022
    International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.'
conference:
  location: Bamberg
  name: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
date_created: 2022-10-20T14:02:14Z
date_updated: 2023-11-15T14:55:14Z
ddc:
- '000'
department:
- _id: '54'
external_id:
  arxiv:
  - '2209.11494'
file:
- access_level: open_access
  content_type: application/pdf
  creator: cord
  date_created: 2023-11-15T14:54:56Z
  date_updated: 2023-11-15T14:54:56Z
  file_id: '48931'
  file_name: mms_msg_camera_ready.pdf
  file_size: 177975
  relation: main_file
file_date_updated: 2023-11-15T14:54:56Z
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)
quality_controlled: '1'
status: public
title: 'MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator'
type: conference
user_id: '44393'
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: '33451'
abstract:
- lang: eng
  text: "We present an approach to automatically generate semantic labels for real
    recordings of automotive range-Doppler (RD) radar spectra. Such labels are required
    when training a neural network for object recognition from radar data. The automatic
    labeling approach rests on the simultaneous recording of camera and lidar data
    in addition to the radar spectrum. By warping radar spectra into the camera image,
    state-of-the-art object recognition algorithms can be applied to label relevant
    objects, such as cars, in the camera image. The warping operation is designed
    to be fully differentiable, which allows backpropagating the gradient computed
    on the camera image through the warping operation to the neural network operating
    on the radar data. As the warping operation relies on accurate scene flow estimation,
    we further propose a novel scene flow estimation algorithm which exploits information
    from camera, lidar and radar sensors. The\r\nproposed scene flow estimation approach
    is compared against a state-of-the-art scene flow algorithm, and it outperforms
    it by approximately 30% w.r.t. mean average error. The feasibility of the overall
    framework for automatic label generation for\r\nRD spectra is verified by evaluating
    the performance of neural networks trained with the proposed framework for Direction-of-Arrival
    estimation."
author:
- first_name: Christopher
  full_name: Grimm, Christopher
  last_name: Grimm
- first_name: Tai
  full_name: Fei, Tai
  last_name: Fei
- first_name: Ernst
  full_name: Warsitz, Ernst
  last_name: Warsitz
- first_name: Ridha
  full_name: Farhoud, Ridha
  last_name: Farhoud
- first_name: Tobias
  full_name: Breddermann, Tobias
  last_name: Breddermann
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Grimm C, Fei T, Warsitz E, Farhoud R, Breddermann T, Haeb-Umbach R. Warping
    of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications.
    <i>IEEE Transactions on Vehicular Technology</i>. 2022;71(9):9435-9449. doi:<a
    href="https://doi.org/10.1109/TVT.2022.3182411">10.1109/TVT.2022.3182411</a>
  apa: Grimm, C., Fei, T., Warsitz, E., Farhoud, R., Breddermann, T., &#38; Haeb-Umbach,
    R. (2022). Warping of Radar Data Into Camera Image for Cross-Modal Supervision
    in Automotive Applications. <i>IEEE Transactions on Vehicular Technology</i>,
    <i>71</i>(9), 9435–9449. <a href="https://doi.org/10.1109/TVT.2022.3182411">https://doi.org/10.1109/TVT.2022.3182411</a>
  bibtex: '@article{Grimm_Fei_Warsitz_Farhoud_Breddermann_Haeb-Umbach_2022, title={Warping
    of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications},
    volume={71}, DOI={<a href="https://doi.org/10.1109/TVT.2022.3182411">10.1109/TVT.2022.3182411</a>},
    number={9}, journal={IEEE Transactions on Vehicular Technology}, author={Grimm,
    Christopher and Fei, Tai and Warsitz, Ernst and Farhoud, Ridha and Breddermann,
    Tobias and Haeb-Umbach, Reinhold}, year={2022}, pages={9435–9449} }'
  chicago: 'Grimm, Christopher, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann,
    and Reinhold Haeb-Umbach. “Warping of Radar Data Into Camera Image for Cross-Modal
    Supervision in Automotive Applications.” <i>IEEE Transactions on Vehicular Technology</i>
    71, no. 9 (2022): 9435–49. <a href="https://doi.org/10.1109/TVT.2022.3182411">https://doi.org/10.1109/TVT.2022.3182411</a>.'
  ieee: 'C. Grimm, T. Fei, E. Warsitz, R. Farhoud, T. Breddermann, and R. Haeb-Umbach,
    “Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive
    Applications,” <i>IEEE Transactions on Vehicular Technology</i>, vol. 71, no.
    9, pp. 9435–9449, 2022, doi: <a href="https://doi.org/10.1109/TVT.2022.3182411">10.1109/TVT.2022.3182411</a>.'
  mla: Grimm, Christopher, et al. “Warping of Radar Data Into Camera Image for Cross-Modal
    Supervision in Automotive Applications.” <i>IEEE Transactions on Vehicular Technology</i>,
    vol. 71, no. 9, 2022, pp. 9435–49, doi:<a href="https://doi.org/10.1109/TVT.2022.3182411">10.1109/TVT.2022.3182411</a>.
  short: C. Grimm, T. Fei, E. Warsitz, R. Farhoud, T. Breddermann, R. Haeb-Umbach,
    IEEE Transactions on Vehicular Technology 71 (2022) 9435–9449.
date_created: 2022-09-21T07:26:19Z
date_updated: 2023-11-20T16:37:16Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/TVT.2022.3182411
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2022-09-22T07:00:29Z
  date_updated: 2022-09-22T07:00:29Z
  file_id: '33460'
  file_name: T-VT_AcceptedVersion.pdf
  file_size: 12117870
  relation: main_file
file_date_updated: 2022-09-22T07:00:29Z
has_accepted_license: '1'
intvolume: '        71'
issue: '9'
language:
- iso: eng
oa: '1'
page: 9435-9449
publication: IEEE Transactions on Vehicular Technology
quality_controlled: '1'
status: public
title: Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive
  Applications
type: journal_article
user_id: '242'
volume: 71
year: '2022'
...
---
_id: '33696'
author:
- first_name: Jana
  full_name: Wiechmann, Jana
  last_name: Wiechmann
- first_name: Thomas
  full_name: Glarner, Thomas
  last_name: Glarner
- first_name: Frederik
  full_name: Rautenberg, Frederik
  id: '72602'
  last_name: Rautenberg
- first_name: Petra
  full_name: Wagner, Petra
  last_name: Wagner
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Wiechmann J, Glarner T, Rautenberg F, Wagner P, Haeb-Umbach R. Technically
    enabled explaining of voice characteristics. In: <i>18. Phonetik Und Phonologie
    Im Deutschsprachigen Raum (P&#38;P)</i>. ; 2022.'
  apa: Wiechmann, J., Glarner, T., Rautenberg, F., Wagner, P., &#38; Haeb-Umbach,
    R. (2022). Technically enabled explaining of voice characteristics. <i>18. Phonetik
    Und Phonologie Im Deutschsprachigen Raum (P&#38;P)</i>.
  bibtex: '@inproceedings{Wiechmann_Glarner_Rautenberg_Wagner_Haeb-Umbach_2022, title={Technically
    enabled explaining of voice characteristics}, booktitle={18. Phonetik und Phonologie
    im deutschsprachigen Raum (P&#38;P)}, author={Wiechmann, Jana and Glarner, Thomas
    and Rautenberg, Frederik and Wagner, Petra and Haeb-Umbach, Reinhold}, year={2022}
    }'
  chicago: Wiechmann, Jana, Thomas Glarner, Frederik Rautenberg, Petra Wagner, and
    Reinhold Haeb-Umbach. “Technically Enabled Explaining of Voice Characteristics.”
    In <i>18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&#38;P)</i>, 2022.
  ieee: J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, and R. Haeb-Umbach, “Technically
    enabled explaining of voice characteristics,” Bielefeld, 2022.
  mla: Wiechmann, Jana, et al. “Technically Enabled Explaining of Voice Characteristics.”
    <i>18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&#38;P)</i>, 2022.
  short: 'J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in:
    18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&#38;P), 2022.'
conference:
  end_date: 2022-10-07
  location: Bielefeld
  start_date: 2022-10-06
date_created: 2022-10-12T07:10:03Z
date_updated: 2023-11-22T13:45:30Z
ddc:
- '000'
department:
- _id: '54'
- _id: '660'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2022-10-12T07:09:26Z
  date_updated: 2022-10-12T07:09:26Z
  file_id: '33697'
  file_name: PP_2022_paper_8911.pdf
  file_size: 109294
  relation: main_file
file_date_updated: 2022-10-12T07:09:26Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '129'
  grant_number: '438445824'
  name: 'TRR 318 - C06: TRR 318 - Technisch unterstütztes Erklären von Stimmcharakteristika
    (Teilprojekt C06)'
publication: 18. Phonetik und Phonologie im deutschsprachigen Raum (P&P)
status: public
title: Technically enabled explaining of voice characteristics
type: conference
user_id: '72602'
year: '2022'
...
---
_id: '33857'
author:
- first_name: Michael
  full_name: Kuhlmann, Michael
  id: '49871'
  last_name: Kuhlmann
- first_name: Fritz
  full_name: Seebauer, Fritz
  last_name: Seebauer
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Petra
  full_name: Wagner, Petra
  last_name: Wagner
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Kuhlmann M, Seebauer F, Ebbers J, Wagner P, Haeb-Umbach R. Investigation into
    Target Speaking Rate Adaptation for Voice Conversion. In: <i>Interspeech 2022</i>.
    ISCA; 2022. doi:<a href="https://doi.org/10.21437/interspeech.2022-10740">10.21437/interspeech.2022-10740</a>'
  apa: Kuhlmann, M., Seebauer, F., Ebbers, J., Wagner, P., &#38; Haeb-Umbach, R. (2022).
    Investigation into Target Speaking Rate Adaptation for Voice Conversion. <i>Interspeech
    2022</i>. <a href="https://doi.org/10.21437/interspeech.2022-10740">https://doi.org/10.21437/interspeech.2022-10740</a>
  bibtex: '@inproceedings{Kuhlmann_Seebauer_Ebbers_Wagner_Haeb-Umbach_2022, title={Investigation
    into Target Speaking Rate Adaptation for Voice Conversion}, DOI={<a href="https://doi.org/10.21437/interspeech.2022-10740">10.21437/interspeech.2022-10740</a>},
    booktitle={Interspeech 2022}, publisher={ISCA}, author={Kuhlmann, Michael and
    Seebauer, Fritz and Ebbers, Janek and Wagner, Petra and Haeb-Umbach, Reinhold},
    year={2022} }'
  chicago: Kuhlmann, Michael, Fritz Seebauer, Janek Ebbers, Petra Wagner, and Reinhold
    Haeb-Umbach. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.”
    In <i>Interspeech 2022</i>. ISCA, 2022. <a href="https://doi.org/10.21437/interspeech.2022-10740">https://doi.org/10.21437/interspeech.2022-10740</a>.
  ieee: 'M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, and R. Haeb-Umbach, “Investigation
    into Target Speaking Rate Adaptation for Voice Conversion,” 2022, doi: <a href="https://doi.org/10.21437/interspeech.2022-10740">10.21437/interspeech.2022-10740</a>.'
  mla: Kuhlmann, Michael, et al. “Investigation into Target Speaking Rate Adaptation
    for Voice Conversion.” <i>Interspeech 2022</i>, ISCA, 2022, doi:<a href="https://doi.org/10.21437/interspeech.2022-10740">10.21437/interspeech.2022-10740</a>.
  short: 'M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, R. Haeb-Umbach, in: Interspeech
    2022, ISCA, 2022.'
date_created: 2022-10-21T06:50:59Z
date_updated: 2023-10-25T09:04:45Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.21437/interspeech.2022-10740
file:
- access_level: closed
  content_type: application/pdf
  creator: mikuhl
  date_created: 2023-07-15T16:16:12Z
  date_updated: 2023-07-15T16:16:12Z
  file_id: '46070'
  file_name: kuhlmann22_interspeech.pdf
  file_size: 303863
  relation: main_file
  success: 1
file_date_updated: 2023-07-15T16:16:12Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.isca-speech.org/archive/pdfs/interspeech_2022/kuhlmann22_interspeech.pdf
oa: '1'
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Interspeech 2022
publication_status: published
publisher: ISCA
quality_controlled: '1'
status: public
title: Investigation into Target Speaking Rate Adaptation for Voice Conversion
type: conference
user_id: '34851'
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: '34072'
abstract:
- lang: eng
  text: "Performing an adequate evaluation of sound event detection (SED) systems
    is far from trivial and is still subject to ongoing research. The recently proposed
    polyphonic sound detection (PSD)-receiver operating characteristic (ROC) and PSD
    score (PSDS) make an important step into the direction of an evaluation of SED
    systems which is independent from a certain decision threshold. This allows to
    obtain a more complete picture of the overall system behavior which is less biased
    by threshold tuning. Yet, the PSD-ROC is currently only approximated using a finite
    set of thresholds. The choice of\r\nthe thresholds used in approximation, however,
    can have a severe impact on the resulting PSDS. In this paper we propose a method
    which allows for computing system performance on an evaluation set for all possible
    thresholds jointly, enabling accurate computation not only of the PSD-ROC and
    PSDS but also of other collar-based\r\nand intersection-based performance curves.
    It further allows to select the threshold which best fulfills the requirements
    of a given application. Source code is publicly available in our SED evaluation
    package sed_scores_eval."
author:
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Romain
  full_name: Serizel, Romain
  last_name: Serizel
citation:
  ama: 'Ebbers J, Haeb-Umbach R, Serizel R. Threshold Independent Evaluation of Sound
    Event Detection Scores. In: <i>Proceedings of the IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP)</i>. ; 2022.'
  apa: Ebbers, J., Haeb-Umbach, R., &#38; Serizel, R. (2022). Threshold Independent
    Evaluation of Sound Event Detection Scores. <i>Proceedings of the IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>.
  bibtex: '@inproceedings{Ebbers_Haeb-Umbach_Serizel_2022, title={Threshold Independent
    Evaluation of Sound Event Detection Scores}, booktitle={Proceedings of the IEEE
    International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    author={Ebbers, Janek and Haeb-Umbach, Reinhold and Serizel, Romain}, year={2022}
    }'
  chicago: Ebbers, Janek, Reinhold Haeb-Umbach, and Romain Serizel. “Threshold Independent
    Evaluation of Sound Event Detection Scores.” In <i>Proceedings of the IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2022.
  ieee: J. Ebbers, R. Haeb-Umbach, and R. Serizel, “Threshold Independent Evaluation
    of Sound Event Detection Scores,” 2022.
  mla: Ebbers, Janek, et al. “Threshold Independent Evaluation of Sound Event Detection
    Scores.” <i>Proceedings of the IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)</i>, 2022.
  short: 'J. Ebbers, R. Haeb-Umbach, R. Serizel, in: Proceedings of the IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.'
date_created: 2022-11-14T12:17:03Z
date_updated: 2023-11-22T08:26:58Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: ebbers
  date_created: 2022-11-14T12:19:55Z
  date_updated: 2022-11-14T12:19:55Z
  file_id: '34073'
  file_name: Template.pdf
  file_size: 214001
  relation: main_file
file_date_updated: 2022-11-14T12:19:55Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Proceedings of the IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
quality_controlled: '1'
status: public
title: Threshold Independent Evaluation of Sound Event Detection Scores
type: conference
user_id: '34851'
year: '2022'
...
---
_id: '49113'
abstract:
- lang: eng
  text: 'In this report we present our system for the Detection and Classification
    of Acoustic Scenes and Events (DCASE) 2022 Challenge Task 4: Sound Event Detection
    in Domestic Environments 1 . As in previous editions of the Challenge, we use
    forward-backward convolutional recurrent neural networks (FBCRNNs) [1, 2] for
    weakly labeled and semi-supervised sound event detection (SED) and eventually
    generate strong pseudo labels for weakly labeled and unlabeled data. Then, (tag-conditioned)
    bidirectional CRNNs (Bi-CRNNs) [1, 2] are trained in a strongly supervised manner
    as our final SED models. In each of the training stages we use multiple iterations
    of self-training. Compared to previous editions, we improved our system performance
    by 1) some tweaks regarding data augmentation, pseudo labeling and inference 2)
    using weakly labeled AudioSet data [3] for pretraining larger networks and 3)
    augmenting the DESED data [4] with strongly labeled AudioSet data [5] for finetuning
    of the networks. Source code is publicly available at https://github.com/fgnt/pb_sed.'
author:
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Ebbers J, Haeb-Umbach R. <i>Pre-Training And Self-Training For Sound Event
    Detection In Domestic Environments</i>.; 2022.
  apa: Ebbers, J., &#38; Haeb-Umbach, R. (2022). <i>Pre-Training And Self-Training
    For Sound Event Detection In Domestic Environments</i>.
  bibtex: '@book{Ebbers_Haeb-Umbach_2022, title={Pre-Training And Self-Training For
    Sound Event Detection In Domestic Environments}, author={Ebbers, Janek and Haeb-Umbach,
    Reinhold}, year={2022} }'
  chicago: Ebbers, Janek, and Reinhold Haeb-Umbach. <i>Pre-Training And Self-Training
    For Sound Event Detection In Domestic Environments</i>, 2022.
  ieee: J. Ebbers and R. Haeb-Umbach, <i>Pre-Training And Self-Training For Sound
    Event Detection In Domestic Environments</i>. 2022.
  mla: Ebbers, Janek, and Reinhold Haeb-Umbach. <i>Pre-Training And Self-Training
    For Sound Event Detection In Domestic Environments</i>. 2022.
  short: J. Ebbers, R. Haeb-Umbach, Pre-Training And Self-Training For Sound Event
    Detection In Domestic Environments, 2022.
date_created: 2023-11-22T08:34:23Z
date_updated: 2024-11-15T20:34:52Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
  content_type: application/pdf
  creator: ebbers
  date_created: 2023-11-22T08:35:23Z
  date_updated: 2023-11-22T08:35:23Z
  file_id: '49114'
  file_name: dcase2022_tech_report_ebbers.pdf
  file_size: 491650
  relation: main_file
  success: 1
file_date_updated: 2023-11-22T08:35:23Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
status: public
title: Pre-Training And Self-Training For Sound Event Detection In Domestic Environments
type: report
user_id: '34851'
year: '2022'
...
---
_id: '33848'
abstract:
- lang: eng
  text: "Impressive progress in neural network-based single-channel speech source\r\nseparation
    has been made in recent years. But those improvements have been\r\nmostly reported
    on anechoic data, a situation that is hardly met in practice.\r\nTaking the SepFormer
    as a starting point, which achieves state-of-the-art\r\nperformance on anechoic
    mixtures, we gradually modify it to optimize its\r\nperformance on reverberant
    mixtures. Although this leads to a word error rate\r\nimprovement by 7 percentage
    points compared to the standard SepFormer\r\nimplementation, the system ends up
    with only marginally better performance than\r\na PIT-BLSTM separation system,
    that is optimized with rather straightforward\r\nmeans. This is surprising and
    at the same time sobering, challenging the\r\npractical usefulness of many improvements
    reported in recent years for monaural\r\nsource separation on nonreverberant data."
author:
- first_name: Tobias
  full_name: Cord-Landwehr, Tobias
  id: '44393'
  last_name: Cord-Landwehr
- 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: Catalin
  full_name: Zorila, Catalin
  last_name: Zorila
- first_name: Rama
  full_name: Doddipatla, Rama
  last_name: Doddipatla
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Cord-Landwehr T, Boeddeker C, von Neumann T, Zorila C, Doddipatla R, Haeb-Umbach
    R. Monaural source separation: From anechoic to reverberant environments. In:
    <i>2022 International Workshop on Acoustic Signal Enhancement (IWAENC)</i>. IEEE;
    2022.'
  apa: 'Cord-Landwehr, T., Boeddeker, C., von Neumann, T., Zorila, C., Doddipatla,
    R., &#38; Haeb-Umbach, R. (2022). Monaural source separation: From anechoic to
    reverberant environments. <i>2022 International Workshop on Acoustic Signal Enhancement
    (IWAENC)</i>. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC).'
  bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_von Neumann_Zorila_Doddipatla_Haeb-Umbach_2022,
    place={Bamberg}, title={Monaural source separation: From anechoic to reverberant
    environments}, booktitle={2022 International Workshop on Acoustic Signal Enhancement
    (IWAENC)}, publisher={IEEE}, author={Cord-Landwehr, Tobias and Boeddeker, Christoph
    and von Neumann, Thilo and Zorila, Catalin and Doddipatla, Rama and Haeb-Umbach,
    Reinhold}, year={2022} }'
  chicago: 'Cord-Landwehr, Tobias, Christoph Boeddeker, Thilo von Neumann, Catalin
    Zorila, Rama Doddipatla, and Reinhold Haeb-Umbach. “Monaural Source Separation:
    From Anechoic to Reverberant Environments.” In <i>2022 International Workshop
    on Acoustic Signal Enhancement (IWAENC)</i>. Bamberg: IEEE, 2022.'
  ieee: 'T. Cord-Landwehr, C. Boeddeker, T. von Neumann, C. Zorila, R. Doddipatla,
    and R. Haeb-Umbach, “Monaural source separation: From anechoic to reverberant
    environments,” presented at the 2022 International Workshop on Acoustic Signal
    Enhancement (IWAENC), 2022.'
  mla: 'Cord-Landwehr, Tobias, et al. “Monaural Source Separation: From Anechoic to
    Reverberant Environments.” <i>2022 International Workshop on Acoustic Signal Enhancement
    (IWAENC)</i>, IEEE, 2022.'
  short: 'T. Cord-Landwehr, C. Boeddeker, T. von Neumann, C. Zorila, R. Doddipatla,
    R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement
    (IWAENC), IEEE, Bamberg, 2022.'
conference:
  name: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
date_created: 2022-10-20T14:07:28Z
date_updated: 2025-02-12T09:05:25Z
ddc:
- '000'
department:
- _id: '54'
external_id:
  arxiv:
  - '2111.07578'
file:
- access_level: open_access
  content_type: application/pdf
  creator: cord
  date_created: 2023-11-15T14:52:16Z
  date_updated: 2023-11-15T14:52:16Z
  file_id: '48930'
  file_name: monaural_source_separation.pdf
  file_size: 212890
  relation: main_file
file_date_updated: 2023-11-15T14:52:16Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Bamberg
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
publication: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
publisher: IEEE
status: public
title: 'Monaural source separation: From anechoic to reverberant environments'
type: conference
user_id: '40767'
year: '2022'
...
---
_id: '33819'
author:
- first_name: Thilo
  full_name: von Neumann, Thilo
  id: '49870'
  last_name: von Neumann
  orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. SA-SDR:
    A Novel Loss Function for Separation of Meeting Style Data. 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/icassp43922.2022.9746757">10.1109/icassp43922.2022.9746757</a>'
  apa: 'von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., &#38; Haeb-Umbach,
    R. (2022). SA-SDR: A Novel Loss Function for Separation of Meeting Style Data.
    <i>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal
    Processing (ICASSP)</i>. <a href="https://doi.org/10.1109/icassp43922.2022.9746757">https://doi.org/10.1109/icassp43922.2022.9746757</a>'
  bibtex: '@inproceedings{von Neumann_Kinoshita_Boeddeker_Delcroix_Haeb-Umbach_2022,
    title={SA-SDR: A Novel Loss Function for Separation of Meeting Style Data}, DOI={<a
    href="https://doi.org/10.1109/icassp43922.2022.9746757">10.1109/icassp43922.2022.9746757</a>},
    booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)}, publisher={IEEE}, author={von Neumann, Thilo
    and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach,
    Reinhold}, year={2022} }'
  chicago: 'Neumann, Thilo von, Keisuke Kinoshita, Christoph Boeddeker, Marc Delcroix,
    and Reinhold Haeb-Umbach. “SA-SDR: A Novel Loss Function for Separation of Meeting
    Style Data.” 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/icassp43922.2022.9746757">https://doi.org/10.1109/icassp43922.2022.9746757</a>.'
  ieee: 'T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach,
    “SA-SDR: A Novel Loss Function for Separation of Meeting Style Data,” 2022, doi:
    <a href="https://doi.org/10.1109/icassp43922.2022.9746757">10.1109/icassp43922.2022.9746757</a>.'
  mla: 'von Neumann, Thilo, et al. “SA-SDR: A Novel Loss Function for Separation of
    Meeting Style Data.” <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/icassp43922.2022.9746757">10.1109/icassp43922.2022.9746757</a>.'
  short: 'T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach,
    in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and
    Signal Processing (ICASSP), IEEE, 2022.'
date_created: 2022-10-20T05:29:12Z
date_updated: 2025-02-12T09:08:14Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp43922.2022.9746757
file:
- access_level: open_access
  content_type: application/pdf
  creator: tvn
  date_created: 2022-10-20T05:33:10Z
  date_updated: 2022-10-20T05:33:10Z
  file_id: '33820'
  file_name: main.pdf
  file_size: 228069
  relation: main_file
- access_level: open_access
  content_type: application/pdf
  creator: tvn
  date_created: 2022-10-20T05:35:32Z
  date_updated: 2022-10-20T05:35:32Z
  file_id: '33821'
  file_name: poster.pdf
  file_size: 229166
  relation: poster
file_date_updated: 2022-10-20T05:35:32Z
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
publication: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
  link:
  - relation: supplementary_material
    url: https://github.com/fgnt/graph_pit
status: public
title: 'SA-SDR: A Novel Loss Function for Separation of Meeting Style Data'
type: conference
user_id: '40767'
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: '33954'
author:
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Tobias
  full_name: Cord-Landwehr, Tobias
  id: '44393'
  last_name: Cord-Landwehr
- first_name: Thilo
  full_name: von Neumann, Thilo
  id: '49870'
  last_name: von Neumann
  orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Boeddeker C, Cord-Landwehr T, von Neumann T, Haeb-Umbach R. An Initialization
    Scheme for Meeting Separation with Spatial Mixture Models. In: <i>Interspeech
    2022</i>. ISCA; 2022. doi:<a href="https://doi.org/10.21437/interspeech.2022-10929">10.21437/interspeech.2022-10929</a>'
  apa: Boeddeker, C., Cord-Landwehr, T., von Neumann, T., &#38; Haeb-Umbach, R. (2022).
    An Initialization Scheme for Meeting Separation with Spatial Mixture Models. <i>Interspeech
    2022</i>. <a href="https://doi.org/10.21437/interspeech.2022-10929">https://doi.org/10.21437/interspeech.2022-10929</a>
  bibtex: '@inproceedings{Boeddeker_Cord-Landwehr_von Neumann_Haeb-Umbach_2022, title={An
    Initialization Scheme for Meeting Separation with Spatial Mixture Models}, DOI={<a
    href="https://doi.org/10.21437/interspeech.2022-10929">10.21437/interspeech.2022-10929</a>},
    booktitle={Interspeech 2022}, publisher={ISCA}, author={Boeddeker, Christoph and
    Cord-Landwehr, Tobias and von Neumann, Thilo and Haeb-Umbach, Reinhold}, year={2022}
    }'
  chicago: Boeddeker, Christoph, Tobias Cord-Landwehr, Thilo von Neumann, and Reinhold
    Haeb-Umbach. “An Initialization Scheme for Meeting Separation with Spatial Mixture
    Models.” In <i>Interspeech 2022</i>. ISCA, 2022. <a href="https://doi.org/10.21437/interspeech.2022-10929">https://doi.org/10.21437/interspeech.2022-10929</a>.
  ieee: 'C. Boeddeker, T. Cord-Landwehr, T. von Neumann, and R. Haeb-Umbach, “An Initialization
    Scheme for Meeting Separation with Spatial Mixture Models,” 2022, doi: <a href="https://doi.org/10.21437/interspeech.2022-10929">10.21437/interspeech.2022-10929</a>.'
  mla: Boeddeker, Christoph, et al. “An Initialization Scheme for Meeting Separation
    with Spatial Mixture Models.” <i>Interspeech 2022</i>, ISCA, 2022, doi:<a href="https://doi.org/10.21437/interspeech.2022-10929">10.21437/interspeech.2022-10929</a>.
  short: 'C. Boeddeker, T. Cord-Landwehr, T. von Neumann, R. Haeb-Umbach, in: Interspeech
    2022, ISCA, 2022.'
date_created: 2022-10-28T10:53:56Z
date_updated: 2025-02-12T09:06:56Z
department:
- _id: '54'
doi: 10.21437/interspeech.2022-10929
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.isca-archive.org/interspeech_2022/boeddeker22_interspeech.pdf
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
publication: Interspeech 2022
publication_status: published
publisher: ISCA
status: public
title: An Initialization Scheme for Meeting Separation with Spatial Mixture Models
type: conference
user_id: '40767'
year: '2022'
...
---
_id: '33958'
abstract:
- lang: eng
  text: Recent speaker diarization studies showed that integration of end-to-end neural
    diarization (EEND) and clustering-based diarization is a promising approach for
    achieving state-of-the-art performance on various tasks. Such an approach first
    divides an observed signal into fixed-length segments, then performs {\it segment-level}
    local diarization based on an EEND module, and merges the segment-level results
    via clustering to form a final global diarization result. The segmentation is
    done to limit the number of speakers in each segment since the current EEND cannot
    handle a large number of speakers. In this paper, we argue that such an approach
    involving the segmentation has several issues; for example, it inevitably faces
    a dilemma that larger segment sizes increase both the context available for enhancing
    the performance and the number of speakers for the local EEND module to handle.
    To resolve such a problem, this paper proposes a novel framework that performs
    diarization without segmentation. However, it can still handle challenging data
    containing many speakers and a significant amount of overlapping speech. The proposed
    method can take an entire meeting for inference and perform {\it utterance-by-utterance}
    diarization that clusters utterance activities in terms of speakers. To this end,
    we leverage a neural network training scheme called Graph-PIT proposed recently
    for neural source separation. Experiments with simulated active-meeting-like data
    and CALLHOME data show the superiority of the proposed approach over the conventional
    methods.
author:
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Thilo
  full_name: von Neumann, Thilo
  id: '49870'
  last_name: von Neumann
  orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Kinoshita K, von Neumann T, Delcroix M, Boeddeker C, Haeb-Umbach R. Utterance-by-utterance
    overlap-aware neural diarization with Graph-PIT. In: <i>Proc. Interspeech 2022</i>.
    ISCA; 2022:1486-1490. doi:<a href="https://doi.org/10.21437/Interspeech.2022-11408">10.21437/Interspeech.2022-11408</a>'
  apa: Kinoshita, K., von Neumann, T., Delcroix, M., Boeddeker, C., &#38; Haeb-Umbach,
    R. (2022). Utterance-by-utterance overlap-aware neural diarization with Graph-PIT.
    <i>Proc. Interspeech 2022</i>, 1486–1490. <a href="https://doi.org/10.21437/Interspeech.2022-11408">https://doi.org/10.21437/Interspeech.2022-11408</a>
  bibtex: '@inproceedings{Kinoshita_von Neumann_Delcroix_Boeddeker_Haeb-Umbach_2022,
    title={Utterance-by-utterance overlap-aware neural diarization with Graph-PIT},
    DOI={<a href="https://doi.org/10.21437/Interspeech.2022-11408">10.21437/Interspeech.2022-11408</a>},
    booktitle={Proc. Interspeech 2022}, publisher={ISCA}, author={Kinoshita, Keisuke
    and von Neumann, Thilo and Delcroix, Marc and Boeddeker, Christoph and Haeb-Umbach,
    Reinhold}, year={2022}, pages={1486–1490} }'
  chicago: Kinoshita, Keisuke, Thilo von Neumann, Marc Delcroix, Christoph Boeddeker,
    and Reinhold Haeb-Umbach. “Utterance-by-Utterance Overlap-Aware Neural Diarization
    with Graph-PIT.” In <i>Proc. Interspeech 2022</i>, 1486–90. ISCA, 2022. <a href="https://doi.org/10.21437/Interspeech.2022-11408">https://doi.org/10.21437/Interspeech.2022-11408</a>.
  ieee: 'K. Kinoshita, T. von Neumann, M. Delcroix, C. Boeddeker, and R. Haeb-Umbach,
    “Utterance-by-utterance overlap-aware neural diarization with Graph-PIT,” in <i>Proc.
    Interspeech 2022</i>, 2022, pp. 1486–1490, doi: <a href="https://doi.org/10.21437/Interspeech.2022-11408">10.21437/Interspeech.2022-11408</a>.'
  mla: Kinoshita, Keisuke, et al. “Utterance-by-Utterance Overlap-Aware Neural Diarization
    with Graph-PIT.” <i>Proc. Interspeech 2022</i>, ISCA, 2022, pp. 1486–90, doi:<a
    href="https://doi.org/10.21437/Interspeech.2022-11408">10.21437/Interspeech.2022-11408</a>.
  short: 'K. Kinoshita, T. von Neumann, M. Delcroix, C. Boeddeker, R. Haeb-Umbach,
    in: Proc. Interspeech 2022, ISCA, 2022, pp. 1486–1490.'
conference:
  name: Interspeech 2022
date_created: 2022-10-28T12:07:57Z
date_updated: 2025-02-12T09:09:05Z
department:
- _id: '54'
doi: 10.21437/Interspeech.2022-11408
language:
- iso: eng
main_file_link:
- url: https://www.isca-archive.org/interspeech_2022/kinoshita22_interspeech.pdf
page: 1486-1490
publication: Proc. Interspeech 2022
publication_status: published
publisher: ISCA
quality_controlled: '1'
status: public
title: Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
type: conference
user_id: '40767'
year: '2022'
...
---
_id: '21065'
abstract:
- lang: eng
  text: The machine recognition of speech spoken at a distance from the microphones,
    known as far-field automatic speech recognition (ASR), has received a significant
    increase of attention in science and industry, which caused or was caused by an
    equally significant improvement in recognition accuracy. Meanwhile it has entered
    the consumer market with digital home assistants with a spoken language interface
    being its most prominent application. Speech recorded at a distance is affected
    by various acoustic distortions and, consequently, quite different processing
    pipelines have emerged compared to ASR for close-talk speech. A signal enhancement
    front-end for dereverberation, source separation and acoustic beamforming is employed
    to clean up the speech, and the back-end ASR engine is robustified by multi-condition
    training and adaptation. We will also describe the so-called end-to-end approach
    to ASR, which is a new promising architecture that has recently been extended
    to the far-field scenario. This tutorial article gives an account of the algorithms
    used to enable accurate speech recognition from a distance, and it will be seen
    that, although deep learning has a significant share in the technological breakthroughs,
    a clever combination with traditional signal processing can lead to surprisingly
    effective solutions.
author:
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Jahn
  full_name: Heymann, Jahn
  last_name: Heymann
- first_name: Lukas
  full_name: Drude, Lukas
  last_name: Drude
- first_name: Shinji
  full_name: Watanabe, Shinji
  last_name: Watanabe
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
citation:
  ama: Haeb-Umbach R, Heymann J, Drude L, Watanabe S, Delcroix M, Nakatani T. Far-Field
    Automatic Speech Recognition. <i>Proceedings of the IEEE</i>. 2021;109(2):124-148.
    doi:<a href="https://doi.org/10.1109/JPROC.2020.3018668">10.1109/JPROC.2020.3018668</a>
  apa: Haeb-Umbach, R., Heymann, J., Drude, L., Watanabe, S., Delcroix, M., &#38;
    Nakatani, T. (2021). Far-Field Automatic Speech Recognition. <i>Proceedings of
    the IEEE</i>, <i>109</i>(2), 124–148. <a href="https://doi.org/10.1109/JPROC.2020.3018668">https://doi.org/10.1109/JPROC.2020.3018668</a>
  bibtex: '@article{Haeb-Umbach_Heymann_Drude_Watanabe_Delcroix_Nakatani_2021, title={Far-Field
    Automatic Speech Recognition}, volume={109}, DOI={<a href="https://doi.org/10.1109/JPROC.2020.3018668">10.1109/JPROC.2020.3018668</a>},
    number={2}, journal={Proceedings of the IEEE}, author={Haeb-Umbach, Reinhold and
    Heymann, Jahn and Drude, Lukas and Watanabe, Shinji and Delcroix, Marc and Nakatani,
    Tomohiro}, year={2021}, pages={124–148} }'
  chicago: 'Haeb-Umbach, Reinhold, Jahn Heymann, Lukas Drude, Shinji Watanabe, Marc
    Delcroix, and Tomohiro Nakatani. “Far-Field Automatic Speech Recognition.” <i>Proceedings
    of the IEEE</i> 109, no. 2 (2021): 124–48. <a href="https://doi.org/10.1109/JPROC.2020.3018668">https://doi.org/10.1109/JPROC.2020.3018668</a>.'
  ieee: R. Haeb-Umbach, J. Heymann, L. Drude, S. Watanabe, M. Delcroix, and T. Nakatani,
    “Far-Field Automatic Speech Recognition,” <i>Proceedings of the IEEE</i>, vol.
    109, no. 2, pp. 124–148, 2021.
  mla: Haeb-Umbach, Reinhold, et al. “Far-Field Automatic Speech Recognition.” <i>Proceedings
    of the IEEE</i>, vol. 109, no. 2, 2021, pp. 124–48, doi:<a href="https://doi.org/10.1109/JPROC.2020.3018668">10.1109/JPROC.2020.3018668</a>.
  short: R. Haeb-Umbach, J. Heymann, L. Drude, S. Watanabe, M. Delcroix, T. Nakatani,
    Proceedings of the IEEE 109 (2021) 124–148.
date_created: 2021-01-25T08:15:27Z
date_updated: 2022-01-06T06:54:44Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/JPROC.2020.3018668
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2021-01-25T08:17:23Z
  date_updated: 2021-01-25T08:17:23Z
  file_id: '21066'
  file_name: proceedings_2021_haebumbach_Paper.pdf
  file_size: 4173988
  relation: main_file
file_date_updated: 2021-01-25T08:17:23Z
has_accepted_license: '1'
intvolume: '       109'
issue: '2'
language:
- iso: eng
oa: '1'
page: 124-148
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the IEEE
status: public
title: Far-Field Automatic Speech Recognition
type: journal_article
user_id: '59789'
volume: 109
year: '2021'
...
---
_id: '28256'
author:
- first_name: Wangyou
  full_name: Zhang, Wangyou
  last_name: Zhang
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Shinji
  full_name: Watanabe, Shinji
  last_name: Watanabe
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Tsubasa
  full_name: Ochiai, Tsubasa
  last_name: Ochiai
- first_name: Naoyuki
  full_name: Kamo, Naoyuki
  last_name: Kamo
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Yanmin
  full_name: Qian, Yanmin
  last_name: Qian
citation:
  ama: 'Zhang W, Boeddeker C, Watanabe S, et al. End-to-End Dereverberation, Beamforming,
    and Speech Recognition with Improved Numerical Stability and Advanced Frontend.
    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/icassp39728.2021.9414464">10.1109/icassp39728.2021.9414464</a>'
  apa: Zhang, W., Boeddeker, C., Watanabe, S., Nakatani, T., Delcroix, M., Kinoshita,
    K., Ochiai, T., Kamo, N., Haeb-Umbach, R., &#38; Qian, Y. (2021). End-to-End Dereverberation,
    Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced
    Frontend. <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)</i>. <a href="https://doi.org/10.1109/icassp39728.2021.9414464">https://doi.org/10.1109/icassp39728.2021.9414464</a>
  bibtex: '@inproceedings{Zhang_Boeddeker_Watanabe_Nakatani_Delcroix_Kinoshita_Ochiai_Kamo_Haeb-Umbach_Qian_2021,
    title={End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved
    Numerical Stability and Advanced Frontend}, DOI={<a href="https://doi.org/10.1109/icassp39728.2021.9414464">10.1109/icassp39728.2021.9414464</a>},
    booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)}, author={Zhang, Wangyou and Boeddeker, Christoph
    and Watanabe, Shinji and Nakatani, Tomohiro and Delcroix, Marc and Kinoshita,
    Keisuke and Ochiai, Tsubasa and Kamo, Naoyuki and Haeb-Umbach, Reinhold and Qian,
    Yanmin}, year={2021} }'
  chicago: Zhang, Wangyou, Christoph Boeddeker, Shinji Watanabe, Tomohiro Nakatani,
    Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Naoyuki Kamo, Reinhold Haeb-Umbach,
    and Yanmin Qian. “End-to-End Dereverberation, Beamforming, and Speech Recognition
    with Improved Numerical Stability and Advanced Frontend.” In <i>ICASSP 2021 -
    2021 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>, 2021. <a href="https://doi.org/10.1109/icassp39728.2021.9414464">https://doi.org/10.1109/icassp39728.2021.9414464</a>.
  ieee: 'W. Zhang <i>et al.</i>, “End-to-End Dereverberation, Beamforming, and Speech
    Recognition with Improved Numerical Stability and Advanced Frontend,” 2021, doi:
    <a href="https://doi.org/10.1109/icassp39728.2021.9414464">10.1109/icassp39728.2021.9414464</a>.'
  mla: Zhang, Wangyou, et al. “End-to-End Dereverberation, Beamforming, and Speech
    Recognition with Improved Numerical Stability and Advanced Frontend.” <i>ICASSP
    2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>, 2021, doi:<a href="https://doi.org/10.1109/icassp39728.2021.9414464">10.1109/icassp39728.2021.9414464</a>.
  short: 'W. Zhang, C. Boeddeker, S. Watanabe, T. Nakatani, M. Delcroix, K. Kinoshita,
    T. Ochiai, N. Kamo, R. Haeb-Umbach, Y. Qian, in: ICASSP 2021 - 2021 IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.'
date_created: 2021-12-03T11:31:42Z
date_updated: 2022-01-13T08:31:27Z
department:
- _id: '54'
doi: 10.1109/icassp39728.2021.9414464
language:
- iso: eng
publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
publication_status: published
status: public
title: End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved
  Numerical Stability and Advanced Frontend
type: conference
user_id: '40767'
year: '2021'
...
---
_id: '28262'
author:
- first_name: Chenda
  full_name: Li, Chenda
  last_name: Li
- first_name: Jing
  full_name: Shi, Jing
  last_name: Shi
- first_name: Wangyou
  full_name: Zhang, Wangyou
  last_name: Zhang
- first_name: Aswin Shanmugam
  full_name: Subramanian, Aswin Shanmugam
  last_name: Subramanian
- first_name: Xuankai
  full_name: Chang, Xuankai
  last_name: Chang
- first_name: Naoyuki
  full_name: Kamo, Naoyuki
  last_name: Kamo
- first_name: Moto
  full_name: Hira, Moto
  last_name: Hira
- first_name: Tomoki
  full_name: Hayashi, Tomoki
  last_name: Hayashi
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Zhuo
  full_name: Chen, Zhuo
  last_name: Chen
- first_name: Shinji
  full_name: Watanabe, Shinji
  last_name: Watanabe
citation:
  ama: 'Li C, Shi J, Zhang W, et al. ESPnet-SE: End-To-End Speech Enhancement and
    Separation Toolkit Designed for ASR Integration. In: <i>2021 IEEE Spoken Language
    Technology Workshop (SLT)</i>. ; 2021. doi:<a href="https://doi.org/10.1109/slt48900.2021.9383615">10.1109/slt48900.2021.9383615</a>'
  apa: 'Li, C., Shi, J., Zhang, W., Subramanian, A. S., Chang, X., Kamo, N., Hira,
    M., Hayashi, T., Boeddeker, C., Chen, Z., &#38; Watanabe, S. (2021). ESPnet-SE:
    End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration.
    <i>2021 IEEE Spoken Language Technology Workshop (SLT)</i>. <a href="https://doi.org/10.1109/slt48900.2021.9383615">https://doi.org/10.1109/slt48900.2021.9383615</a>'
  bibtex: '@inproceedings{Li_Shi_Zhang_Subramanian_Chang_Kamo_Hira_Hayashi_Boeddeker_Chen_et
    al._2021, title={ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit
    Designed for ASR Integration}, DOI={<a href="https://doi.org/10.1109/slt48900.2021.9383615">10.1109/slt48900.2021.9383615</a>},
    booktitle={2021 IEEE Spoken Language Technology Workshop (SLT)}, author={Li, Chenda
    and Shi, Jing and Zhang, Wangyou and Subramanian, Aswin Shanmugam and Chang, Xuankai
    and Kamo, Naoyuki and Hira, Moto and Hayashi, Tomoki and Boeddeker, Christoph
    and Chen, Zhuo and et al.}, year={2021} }'
  chicago: 'Li, Chenda, Jing Shi, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai
    Chang, Naoyuki Kamo, Moto Hira, et al. “ESPnet-SE: End-To-End Speech Enhancement
    and Separation Toolkit Designed for ASR Integration.” In <i>2021 IEEE Spoken Language
    Technology Workshop (SLT)</i>, 2021. <a href="https://doi.org/10.1109/slt48900.2021.9383615">https://doi.org/10.1109/slt48900.2021.9383615</a>.'
  ieee: 'C. Li <i>et al.</i>, “ESPnet-SE: End-To-End Speech Enhancement and Separation
    Toolkit Designed for ASR Integration,” 2021, doi: <a href="https://doi.org/10.1109/slt48900.2021.9383615">10.1109/slt48900.2021.9383615</a>.'
  mla: 'Li, Chenda, et al. “ESPnet-SE: End-To-End Speech Enhancement and Separation
    Toolkit Designed for ASR Integration.” <i>2021 IEEE Spoken Language Technology
    Workshop (SLT)</i>, 2021, doi:<a href="https://doi.org/10.1109/slt48900.2021.9383615">10.1109/slt48900.2021.9383615</a>.'
  short: 'C. Li, J. Shi, W. Zhang, A.S. Subramanian, X. Chang, N. Kamo, M. Hira, T.
    Hayashi, C. Boeddeker, Z. Chen, S. Watanabe, in: 2021 IEEE Spoken Language Technology
    Workshop (SLT), 2021.'
date_created: 2021-12-03T12:07:35Z
date_updated: 2022-01-13T08:34:25Z
department:
- _id: '54'
doi: 10.1109/slt48900.2021.9383615
language:
- iso: eng
publication: 2021 IEEE Spoken Language Technology Workshop (SLT)
publication_status: published
status: public
title: 'ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for
  ASR Integration'
type: conference
user_id: '40767'
year: '2021'
...
---
_id: '28261'
author:
- first_name: Chenda
  full_name: Li, Chenda
  last_name: Li
- first_name: Yi
  full_name: Luo, Yi
  last_name: Luo
- first_name: Cong
  full_name: Han, Cong
  last_name: Han
- first_name: Jinyu
  full_name: Li, Jinyu
  last_name: Li
- first_name: Takuya
  full_name: Yoshioka, Takuya
  last_name: Yoshioka
- first_name: Tianyan
  full_name: Zhou, Tianyan
  last_name: Zhou
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Yanmin
  full_name: Qian, Yanmin
  last_name: Qian
- first_name: Shinji
  full_name: Watanabe, Shinji
  last_name: Watanabe
- first_name: Zhuo
  full_name: Chen, Zhuo
  last_name: Chen
citation:
  ama: 'Li C, Luo Y, Han C, et al. Dual-Path RNN for Long Recording Speech Separation.
    In: <i>2021 IEEE Spoken Language Technology Workshop (SLT)</i>. ; 2021. doi:<a
    href="https://doi.org/10.1109/slt48900.2021.9383514">10.1109/slt48900.2021.9383514</a>'
  apa: Li, C., Luo, Y., Han, C., Li, J., Yoshioka, T., Zhou, T., Delcroix, M., Kinoshita,
    K., Boeddeker, C., Qian, Y., Watanabe, S., &#38; Chen, Z. (2021). Dual-Path RNN
    for Long Recording Speech Separation. <i>2021 IEEE Spoken Language Technology
    Workshop (SLT)</i>. <a href="https://doi.org/10.1109/slt48900.2021.9383514">https://doi.org/10.1109/slt48900.2021.9383514</a>
  bibtex: '@inproceedings{Li_Luo_Han_Li_Yoshioka_Zhou_Delcroix_Kinoshita_Boeddeker_Qian_et
    al._2021, title={Dual-Path RNN for Long Recording Speech Separation}, DOI={<a
    href="https://doi.org/10.1109/slt48900.2021.9383514">10.1109/slt48900.2021.9383514</a>},
    booktitle={2021 IEEE Spoken Language Technology Workshop (SLT)}, author={Li, Chenda
    and Luo, Yi and Han, Cong and Li, Jinyu and Yoshioka, Takuya and Zhou, Tianyan
    and Delcroix, Marc and Kinoshita, Keisuke and Boeddeker, Christoph and Qian, Yanmin
    and et al.}, year={2021} }'
  chicago: Li, Chenda, Yi Luo, Cong Han, Jinyu Li, Takuya Yoshioka, Tianyan Zhou,
    Marc Delcroix, et al. “Dual-Path RNN for Long Recording Speech Separation.” In
    <i>2021 IEEE Spoken Language Technology Workshop (SLT)</i>, 2021. <a href="https://doi.org/10.1109/slt48900.2021.9383514">https://doi.org/10.1109/slt48900.2021.9383514</a>.
  ieee: 'C. Li <i>et al.</i>, “Dual-Path RNN for Long Recording Speech Separation,”
    2021, doi: <a href="https://doi.org/10.1109/slt48900.2021.9383514">10.1109/slt48900.2021.9383514</a>.'
  mla: Li, Chenda, et al. “Dual-Path RNN for Long Recording Speech Separation.” <i>2021
    IEEE Spoken Language Technology Workshop (SLT)</i>, 2021, doi:<a href="https://doi.org/10.1109/slt48900.2021.9383514">10.1109/slt48900.2021.9383514</a>.
  short: 'C. Li, Y. Luo, C. Han, J. Li, T. Yoshioka, T. Zhou, M. Delcroix, K. Kinoshita,
    C. Boeddeker, Y. Qian, S. Watanabe, Z. Chen, in: 2021 IEEE Spoken Language Technology
    Workshop (SLT), 2021.'
date_created: 2021-12-03T12:07:03Z
date_updated: 2022-01-13T08:34:07Z
department:
- _id: '54'
doi: 10.1109/slt48900.2021.9383514
language:
- iso: eng
publication: 2021 IEEE Spoken Language Technology Workshop (SLT)
publication_status: published
status: public
title: Dual-Path RNN for Long Recording Speech Separation
type: conference
user_id: '40767'
year: '2021'
...
---
_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: '44843'
abstract:
- lang: eng
  text: "Unsupervised blind source separation methods do not require a training phase\r\nand
    thus cannot suffer from a train-test mismatch, which is a common concern in\r\nneural
    network based source separation. The unsupervised techniques can be\r\ncategorized
    in two classes, those building upon the sparsity of speech in the\r\nShort-Time
    Fourier transform domain and those exploiting non-Gaussianity or\r\nnon-stationarity
    of the source signals. In this contribution, spatial mixture\r\nmodels which fall
    in the first category and independent vector analysis (IVA)\r\nas a representative
    of the second category are compared w.r.t. their separation\r\nperformance and
    the performance of a downstream speech recognizer on a\r\nreverberant dataset
    of reasonable size. Furthermore, we introduce a serial\r\nconcatenation of the
    two, where the result of the mixture model serves as\r\ninitialization of IVA,
    which achieves significantly better WER performance than\r\neach algorithm individually
    and even approaches the performance of a much more\r\ncomplex neural network based
    technique."
author:
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Frederik
  full_name: Rautenberg, Frederik
  id: '72602'
  last_name: Rautenberg
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of
    Unsupervised Blind Source Separation  Techniques. In: <i>ITG Conference on Speech
    Communication</i>. ; 2021.'
  apa: Boeddeker, C., Rautenberg, F., &#38; Haeb-Umbach, R. (2021). A Comparison and
    Combination of Unsupervised Blind Source Separation  Techniques. <i>ITG Conference
    on Speech Communication</i>. ITG Conference on Speech Communication, Kiel.
  bibtex: '@inproceedings{Boeddeker_Rautenberg_Haeb-Umbach_2021, title={A Comparison
    and Combination of Unsupervised Blind Source Separation  Techniques}, booktitle={ITG
    Conference on Speech Communication}, author={Boeddeker, Christoph and Rautenberg,
    Frederik and Haeb-Umbach, Reinhold}, year={2021} }'
  chicago: Boeddeker, Christoph, Frederik Rautenberg, and Reinhold Haeb-Umbach. “A
    Comparison and Combination of Unsupervised Blind Source Separation  Techniques.”
    In <i>ITG Conference on Speech Communication</i>, 2021.
  ieee: C. Boeddeker, F. Rautenberg, and R. Haeb-Umbach, “A Comparison and Combination
    of Unsupervised Blind Source Separation  Techniques,” presented at the ITG Conference
    on Speech Communication, Kiel, 2021.
  mla: Boeddeker, Christoph, et al. “A Comparison and Combination of Unsupervised
    Blind Source Separation  Techniques.” <i>ITG Conference on Speech Communication</i>,
    2021.
  short: 'C. Boeddeker, F. Rautenberg, R. Haeb-Umbach, in: ITG Conference on Speech
    Communication, 2021.'
conference:
  location: Kiel
  name: ITG Conference on Speech Communication
date_created: 2023-05-15T07:59:33Z
date_updated: 2023-11-15T15:29:32Z
ddc:
- '000'
department:
- _id: '54'
external_id:
  arxiv:
  - '2106.05627'
file:
- access_level: open_access
  content_type: application/pdf
  creator: frra
  date_created: 2023-05-16T08:37:31Z
  date_updated: 2023-11-15T15:29:32Z
  file_id: '44856'
  file_name: 2106.05627.pdf
  file_size: 295972
  relation: main_file
file_date_updated: 2023-11-15T15:29:32Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/pdf/2106.05627.pdf
oa: '1'
publication: ITG Conference on Speech Communication
status: public
title: A Comparison and Combination of Unsupervised Blind Source Separation  Techniques
type: conference
user_id: '40767'
year: '2021'
...
---
_id: '28259'
author:
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Wangyou
  full_name: Zhang, Wangyou
  last_name: Zhang
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Tsubasa
  full_name: Ochiai, Tsubasa
  last_name: Ochiai
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Naoyuki
  full_name: Kamo, Naoyuki
  last_name: Kamo
- first_name: Yanmin
  full_name: Qian, Yanmin
  last_name: Qian
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant
    SDR Training Criteria for Multi-Channel Reverberant Speech Separation. 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/icassp39728.2021.9414661">10.1109/icassp39728.2021.9414661</a>'
  apa: Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix,
    M., Kamo, N., Qian, Y., &#38; Haeb-Umbach, R. (2021). Convolutive Transfer Function
    Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.
    <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal
    Processing (ICASSP)</i>. <a href="https://doi.org/10.1109/icassp39728.2021.9414661">https://doi.org/10.1109/icassp39728.2021.9414661</a>
  bibtex: '@inproceedings{Boeddeker_Zhang_Nakatani_Kinoshita_Ochiai_Delcroix_Kamo_Qian_Haeb-Umbach_2021,
    title={Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
    Reverberant Speech Separation}, DOI={<a href="https://doi.org/10.1109/icassp39728.2021.9414661">10.1109/icassp39728.2021.9414661</a>},
    booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)}, author={Boeddeker, Christoph and Zhang, Wangyou
    and Nakatani, Tomohiro and Kinoshita, Keisuke and Ochiai, Tsubasa and Delcroix,
    Marc and Kamo, Naoyuki and Qian, Yanmin and Haeb-Umbach, Reinhold}, year={2021}
    }'
  chicago: Boeddeker, Christoph, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita,
    Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, and Reinhold Haeb-Umbach.
    “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
    Reverberant Speech Separation.” In <i>ICASSP 2021 - 2021 IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021. <a href="https://doi.org/10.1109/icassp39728.2021.9414661">https://doi.org/10.1109/icassp39728.2021.9414661</a>.
  ieee: 'C. Boeddeker <i>et al.</i>, “Convolutive Transfer Function Invariant SDR
    Training Criteria for Multi-Channel Reverberant Speech Separation,” 2021, doi:
    <a href="https://doi.org/10.1109/icassp39728.2021.9414661">10.1109/icassp39728.2021.9414661</a>.'
  mla: Boeddeker, Christoph, et al. “Convolutive Transfer Function Invariant SDR Training
    Criteria for Multi-Channel Reverberant Speech Separation.” <i>ICASSP 2021 - 2021
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>,
    2021, doi:<a href="https://doi.org/10.1109/icassp39728.2021.9414661">10.1109/icassp39728.2021.9414661</a>.
  short: 'C. Boeddeker, W. Zhang, T. Nakatani, K. Kinoshita, T. Ochiai, M. Delcroix,
    N. Kamo, Y. Qian, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP), 2021.'
date_created: 2021-12-03T12:00:16Z
date_updated: 2023-11-15T15:18:09Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp39728.2021.9414661
file:
- access_level: open_access
  content_type: application/pdf
  creator: cbj
  date_created: 2021-12-03T12:01:20Z
  date_updated: 2023-11-15T15:18:08Z
  file_id: '28260'
  file_name: ICASSP2021_BSSEval.pdf
  file_size: 228717
  relation: main_file
file_date_updated: 2023-11-15T15:18:08Z
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: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
publication_status: published
status: public
title: Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
  Reverberant Speech Separation
type: conference
user_id: '40767'
year: '2021'
...