---
_id: '56273'
abstract:
- lang: eng
text: "This paper presents the CHiME-8 DASR challenge which carries on from the\r\nprevious
edition CHiME-7 DASR (C7DASR) and the past CHiME-6 challenge. It\r\nfocuses on
joint multi-channel distant speech recognition (DASR) and\r\ndiarization with
one or more, possibly heterogeneous, devices. The main goal is\r\nto spur research
towards meeting transcription approaches that can generalize\r\nacross arbitrary
number of speakers, diverse settings (formal vs. informal\r\nconversations), meeting
duration, wide-variety of acoustic scenarios and\r\ndifferent recording configurations.
Novelties with respect to C7DASR include:\r\ni) the addition of NOTSOFAR-1, an
additional office/corporate meeting scenario,\r\nii) a manually corrected Mixer
6 development set, iii) a new track in which we\r\nallow the use of large-language
models (LLM) iv) a jury award mechanism to\r\nencourage participants to explore
also more practical and innovative solutions.\r\nTo lower the entry barrier for
participants, we provide a standalone toolkit\r\nfor downloading and preparing
such datasets as well as performing text\r\nnormalization and scoring their submissions.
Furthermore, this year we also\r\nprovide two baseline systems, one directly inherited
from C7DASR and based on\r\nESPnet and another one developed on NeMo and based
on NeMo team submission in\r\nlast year C7DASR. Baseline system results suggest
that the addition of the\r\nNOTSOFAR-1 scenario significantly increases the task's
difficulty due to its\r\nhigh number of speakers and very short duration."
author:
- first_name: Samuele
full_name: Cornell, Samuele
last_name: Cornell
- first_name: Taejin
full_name: Park, Taejin
last_name: Park
- first_name: Steve
full_name: Huang, Steve
last_name: Huang
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Xuankai
full_name: Chang, Xuankai
last_name: Chang
- first_name: Matthew
full_name: Maciejewski, Matthew
last_name: Maciejewski
- first_name: Matthew
full_name: Wiesner, Matthew
last_name: Wiesner
- first_name: Paola
full_name: Garcia, Paola
last_name: Garcia
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
citation:
ama: Cornell S, Park T, Huang S, et al. The CHiME-8 DASR Challenge for Generalizable
and Array Agnostic Distant Automatic Speech Recognition and Diarization. arXiv:240716447.
Published online 2024.
apa: Cornell, S., Park, T., Huang, S., Boeddeker, C., Chang, X., Maciejewski, M.,
Wiesner, M., Garcia, P., & Watanabe, S. (2024). The CHiME-8 DASR Challenge
for Generalizable and Array Agnostic Distant Automatic Speech Recognition and
Diarization. In arXiv:2407.16447.
bibtex: '@article{Cornell_Park_Huang_Boeddeker_Chang_Maciejewski_Wiesner_Garcia_Watanabe_2024,
title={The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant
Automatic Speech Recognition and Diarization}, journal={arXiv:2407.16447}, author={Cornell,
Samuele and Park, Taejin and Huang, Steve and Boeddeker, Christoph and Chang,
Xuankai and Maciejewski, Matthew and Wiesner, Matthew and Garcia, Paola and Watanabe,
Shinji}, year={2024} }'
chicago: Cornell, Samuele, Taejin Park, Steve Huang, Christoph Boeddeker, Xuankai
Chang, Matthew Maciejewski, Matthew Wiesner, Paola Garcia, and Shinji Watanabe.
“The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic
Speech Recognition and Diarization.” ArXiv:2407.16447, 2024.
ieee: S. Cornell et al., “The CHiME-8 DASR Challenge for Generalizable and
Array Agnostic Distant Automatic Speech Recognition and Diarization,” arXiv:2407.16447.
2024.
mla: Cornell, Samuele, et al. “The CHiME-8 DASR Challenge for Generalizable and
Array Agnostic Distant Automatic Speech Recognition and Diarization.” ArXiv:2407.16447,
2024.
short: S. Cornell, T. Park, S. Huang, C. Boeddeker, X. Chang, M. Maciejewski, M.
Wiesner, P. Garcia, S. Watanabe, ArXiv:2407.16447 (2024).
date_created: 2024-09-30T08:08:46Z
date_updated: 2024-09-30T08:09:40Z
department:
- _id: '54'
external_id:
arxiv:
- '2407.16447'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2407.16447
oa: '1'
publication: arXiv:2407.16447
status: public
title: The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic
Speech Recognition and Diarization
type: preprint
user_id: '40767'
year: '2024'
...
---
_id: '52958'
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Aswin Shanmugam
full_name: Subramanian, Aswin Shanmugam
last_name: Subramanian
- first_name: Gordon
full_name: Wichern, Gordon
last_name: Wichern
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Jonathan
full_name: Le Roux, Jonathan
last_name: Le Roux
citation:
ama: 'Boeddeker C, Subramanian AS, Wichern G, Haeb-Umbach R, Le Roux J. TS-SEP:
Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings.
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2024;32:1185-1197.
doi:10.1109/taslp.2024.3350887'
apa: 'Boeddeker, C., Subramanian, A. S., Wichern, G., Haeb-Umbach, R., & Le
Roux, J. (2024). TS-SEP: Joint Diarization and Separation Conditioned on Estimated
Speaker Embeddings. IEEE/ACM Transactions on Audio, Speech, and Language Processing,
32, 1185–1197. https://doi.org/10.1109/taslp.2024.3350887'
bibtex: '@article{Boeddeker_Subramanian_Wichern_Haeb-Umbach_Le Roux_2024, title={TS-SEP:
Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings},
volume={32}, DOI={10.1109/taslp.2024.3350887},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Boeddeker, Christoph
and Subramanian, Aswin Shanmugam and Wichern, Gordon and Haeb-Umbach, Reinhold
and Le Roux, Jonathan}, year={2024}, pages={1185–1197} }'
chicago: 'Boeddeker, Christoph, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold
Haeb-Umbach, and Jonathan Le Roux. “TS-SEP: Joint Diarization and Separation Conditioned
on Estimated Speaker Embeddings.” IEEE/ACM Transactions on Audio, Speech, and
Language Processing 32 (2024): 1185–97. https://doi.org/10.1109/taslp.2024.3350887.'
ieee: 'C. Boeddeker, A. S. Subramanian, G. Wichern, R. Haeb-Umbach, and J. Le Roux,
“TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings,”
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32,
pp. 1185–1197, 2024, doi: 10.1109/taslp.2024.3350887.'
mla: 'Boeddeker, Christoph, et al. “TS-SEP: Joint Diarization and Separation Conditioned
on Estimated Speaker Embeddings.” IEEE/ACM Transactions on Audio, Speech, and
Language Processing, vol. 32, Institute of Electrical and Electronics Engineers
(IEEE), 2024, pp. 1185–97, doi:10.1109/taslp.2024.3350887.'
short: C. Boeddeker, A.S. Subramanian, G. Wichern, R. Haeb-Umbach, J. Le Roux, IEEE/ACM
Transactions on Audio, Speech, and Language Processing 32 (2024) 1185–1197.
date_created: 2024-03-26T16:11:54Z
date_updated: 2025-04-16T10:21:45Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/taslp.2024.3350887
file:
- access_level: open_access
content_type: application/pdf
creator: cbj
date_created: 2025-04-16T10:14:47Z
date_updated: 2025-04-16T10:21:45Z
file_id: '59602'
file_name: main.pdf
file_size: 3432879
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: cbj
date_created: 2025-04-16T10:15:08Z
date_updated: 2025-04-16T10:21:45Z
file_id: '59603'
file_name: slides.pdf
file_size: 2838635
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: cbj
date_created: 2025-04-16T10:15:22Z
date_updated: 2025-04-16T10:21:45Z
file_id: '59604'
file_name: poster.pdf
file_size: 2038741
relation: main_file
file_date_updated: 2025-04-16T10:21:45Z
has_accepted_license: '1'
intvolume: ' 32'
keyword:
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
- Computer Science (miscellaneous)
- Computational Mathematics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2303.03849
oa: '1'
page: 1185-1197
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: IEEE/ACM Transactions on Audio, Speech, and Language Processing
publication_identifier:
issn:
- 2329-9290
- 2329-9304
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker
Embeddings'
type: journal_article
user_id: '40767'
volume: 32
year: '2024'
...
---
_id: '56004'
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: 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: 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, Boeddeker C, Cord-Landwehr T, Delcroix M, Haeb-Umbach R. Meeting
Recognition with Continuous Speech Separation and Transcription-Supported Diarization.
In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing
Workshops (ICASSPW). IEEE; 2024. doi:10.1109/icasspw62465.2024.10625894'
apa: von Neumann, T., Boeddeker, C., Cord-Landwehr, T., Delcroix, M., & Haeb-Umbach,
R. (2024). Meeting Recognition with Continuous Speech Separation and Transcription-Supported
Diarization. 2024 IEEE International Conference on Acoustics, Speech, and Signal
Processing Workshops (ICASSPW). https://doi.org/10.1109/icasspw62465.2024.10625894
bibtex: '@inproceedings{von Neumann_Boeddeker_Cord-Landwehr_Delcroix_Haeb-Umbach_2024,
title={Meeting Recognition with Continuous Speech Separation and Transcription-Supported
Diarization}, DOI={10.1109/icasspw62465.2024.10625894},
booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal
Processing Workshops (ICASSPW)}, publisher={IEEE}, author={von Neumann, Thilo
and Boeddeker, Christoph and Cord-Landwehr, Tobias and Delcroix, Marc and Haeb-Umbach,
Reinhold}, year={2024} }'
chicago: Neumann, Thilo von, Christoph Boeddeker, Tobias Cord-Landwehr, Marc Delcroix,
and Reinhold Haeb-Umbach. “Meeting Recognition with Continuous Speech Separation
and Transcription-Supported Diarization.” In 2024 IEEE International Conference
on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, 2024.
https://doi.org/10.1109/icasspw62465.2024.10625894.
ieee: 'T. von Neumann, C. Boeddeker, T. Cord-Landwehr, M. Delcroix, and R. Haeb-Umbach,
“Meeting Recognition with Continuous Speech Separation and Transcription-Supported
Diarization,” 2024, doi: 10.1109/icasspw62465.2024.10625894.'
mla: von Neumann, Thilo, et al. “Meeting Recognition with Continuous Speech Separation
and Transcription-Supported Diarization.” 2024 IEEE International Conference
on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE, 2024,
doi:10.1109/icasspw62465.2024.10625894.
short: 'T. von Neumann, C. Boeddeker, T. Cord-Landwehr, M. Delcroix, R. Haeb-Umbach,
in: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing
Workshops (ICASSPW), IEEE, 2024.'
date_created: 2024-09-04T07:26:02Z
date_updated: 2025-02-12T09:20:07Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icasspw62465.2024.10625894
file:
- access_level: open_access
content_type: application/pdf
creator: tvn
date_created: 2024-09-04T07:34:30Z
date_updated: 2024-09-04T07:34:30Z
file_id: '56005'
file_name: main.pdf
file_size: 150432
relation: main_file
file_date_updated: 2024-09-04T07:34:30Z
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: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing
Workshops (ICASSPW)
publication_status: published
publisher: IEEE
status: public
title: Meeting Recognition with Continuous Speech Separation and Transcription-Supported
Diarization
type: conference
user_id: '40767'
year: '2024'
...
---
_id: '56272'
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: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Boeddeker C, Cord-Landwehr T, Haeb-Umbach R. Once more Diarization: Improving
meeting transcription systems through segment-level speaker reassignment. In:
Interspeech 2024. ISCA; 2024. doi:10.21437/interspeech.2024-1286'
apa: 'Boeddeker, C., Cord-Landwehr, T., & Haeb-Umbach, R. (2024). Once more
Diarization: Improving meeting transcription systems through segment-level speaker
reassignment. Interspeech 2024. https://doi.org/10.21437/interspeech.2024-1286'
bibtex: '@inproceedings{Boeddeker_Cord-Landwehr_Haeb-Umbach_2024, title={Once more
Diarization: Improving meeting transcription systems through segment-level speaker
reassignment}, DOI={10.21437/interspeech.2024-1286},
booktitle={Interspeech 2024}, publisher={ISCA}, author={Boeddeker, Christoph and
Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: 'Boeddeker, Christoph, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach.
“Once More Diarization: Improving Meeting Transcription Systems through Segment-Level
Speaker Reassignment.” In Interspeech 2024. ISCA, 2024. https://doi.org/10.21437/interspeech.2024-1286.'
ieee: 'C. Boeddeker, T. Cord-Landwehr, and R. Haeb-Umbach, “Once more Diarization:
Improving meeting transcription systems through segment-level speaker reassignment,”
2024, doi: 10.21437/interspeech.2024-1286.'
mla: 'Boeddeker, Christoph, et al. “Once More Diarization: Improving Meeting Transcription
Systems through Segment-Level Speaker Reassignment.” Interspeech 2024,
ISCA, 2024, doi:10.21437/interspeech.2024-1286.'
short: 'C. Boeddeker, T. Cord-Landwehr, R. Haeb-Umbach, in: Interspeech 2024, ISCA,
2024.'
date_created: 2024-09-30T08:04:47Z
date_updated: 2025-02-12T09:18:36Z
department:
- _id: '54'
doi: 10.21437/interspeech.2024-1286
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isca-archive.org/interspeech_2024/boeddeker24_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 2024
publication_status: published
publisher: ISCA
status: public
title: 'Once more Diarization: Improving meeting transcription systems through segment-level
speaker reassignment'
type: conference
user_id: '40767'
year: '2024'
...
---
_id: '57659'
author:
- first_name: Peter
full_name: Vieting, Peter
last_name: Vieting
- first_name: Simon
full_name: Berger, Simon
last_name: Berger
- 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: Ralf
full_name: Schlüter, Ralf
last_name: Schlüter
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Vieting P, Berger S, von Neumann T, Boeddeker C, Schlüter R, Haeb-Umbach R.
Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for
Meeting Transcription. In: 2024 IEEE Spoken Language Technology Workshop (SLT).
; 2024.'
apa: Vieting, P., Berger, S., von Neumann, T., Boeddeker, C., Schlüter, R., &
Haeb-Umbach, R. (2024). Combining TF-GridNet and Mixture Encoder for Continuous
Speech Separation for Meeting Transcription. 2024 IEEE Spoken Language Technology
Workshop (SLT).
bibtex: '@inproceedings{Vieting_Berger_von Neumann_Boeddeker_Schlüter_Haeb-Umbach_2024,
title={Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation
for Meeting Transcription}, booktitle={2024 IEEE Spoken Language Technology Workshop
(SLT)}, author={Vieting, Peter and Berger, Simon and von Neumann, Thilo and Boeddeker,
Christoph and Schlüter, Ralf and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: Vieting, Peter, Simon Berger, Thilo von Neumann, Christoph Boeddeker, Ralf
Schlüter, and Reinhold Haeb-Umbach. “Combining TF-GridNet and Mixture Encoder
for Continuous Speech Separation for Meeting Transcription.” In 2024 IEEE Spoken
Language Technology Workshop (SLT), 2024.
ieee: P. Vieting, S. Berger, T. von Neumann, C. Boeddeker, R. Schlüter, and R. Haeb-Umbach,
“Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for
Meeting Transcription,” 2024.
mla: Vieting, Peter, et al. “Combining TF-GridNet and Mixture Encoder for Continuous
Speech Separation for Meeting Transcription.” 2024 IEEE Spoken Language Technology
Workshop (SLT), 2024.
short: 'P. Vieting, S. Berger, T. von Neumann, C. Boeddeker, R. Schlüter, R. Haeb-Umbach,
in: 2024 IEEE Spoken Language Technology Workshop (SLT), 2024.'
date_created: 2024-12-09T11:46:18Z
date_updated: 2025-02-12T09:20:59Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www-i6.informatik.rwth-aachen.de/publications/download/1259/VietingPeterBergerSimonNeumannThilovonBoeddekerChristophSchl%FCterRalfHaeb-UmbachReinhold--CombiningTF-GridNetMixtureEncoderforContinuousSpeechSeparationforMeetingTranscription--2024.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: 2024 IEEE Spoken Language Technology Workshop (SLT)
status: public
title: Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for
Meeting Transcription
type: conference
user_id: '40767'
year: '2024'
...
---
_id: '57085'
abstract:
- lang: eng
text: We propose an approach for simultaneous diarization and separation of meeting
data. It consists of a complex Angular Central Gaussian Mixture Model (cACGMM)
for speech source separation, and a von-Mises-Fisher Mixture Model (VMFMM) for
diarization in a joint statistical framework. Through the integration, both spatial
and spectral information are exploited for diarization and separation. We also
develop a method for counting the number of active speakers in a segment of a
meeting to support block-wise processing. While the total number of speakers in
a meeting may be known, it is usually not known on a per-segment level. With the
proposed speaker counting, joint diarization and source separation can be done
segment-by-segment, and the permutation problem across segments is solved, thus
allowing for block-online processing in the future. Experimental results on the
LibriCSS meeting corpus show that the integrated approach outperforms a cascaded
approach of diarization and speech enhancement in terms of WER, both on a per-segment
and on a per-meeting level.
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: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Cord-Landwehr T, Boeddeker C, Haeb-Umbach R. Simultaneous Diarization and
Separation of Meetings through the Integration of Statistical Mixture Models.
In: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP). ; 2024. doi:10.1109/ICASSP49660.2025.10888445'
apa: Cord-Landwehr, T., Boeddeker, C., & Haeb-Umbach, R. (2024). Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models. ICASSP 2025 - 2025 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP). 2025 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India. https://doi.org/10.1109/ICASSP49660.2025.10888445
bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_Haeb-Umbach_2024, title={Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models}, DOI={10.1109/ICASSP49660.2025.10888445},
booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, author={Cord-Landwehr, Tobias and Boeddeker,
Christoph and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: Cord-Landwehr, Tobias, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models.” In ICASSP 2025 - 2025 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2024. https://doi.org/10.1109/ICASSP49660.2025.10888445.
ieee: 'T. Cord-Landwehr, C. Boeddeker, and R. Haeb-Umbach, “Simultaneous Diarization
and Separation of Meetings through the Integration of Statistical Mixture Models,”
presented at the 2025 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), Hyderabad, India, 2024, doi: 10.1109/ICASSP49660.2025.10888445.'
mla: Cord-Landwehr, Tobias, et al. “Simultaneous Diarization and Separation of Meetings
through the Integration of Statistical Mixture Models.” ICASSP 2025 - 2025
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2024, doi:10.1109/ICASSP49660.2025.10888445.
short: 'T. Cord-Landwehr, C. Boeddeker, R. Haeb-Umbach, in: ICASSP 2025 - 2025 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2024.'
conference:
location: Hyderabad, India
name: 2025 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP)
date_created: 2024-11-14T09:32:38Z
date_updated: 2025-08-14T08:12:22Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/ICASSP49660.2025.10888445
file:
- access_level: closed
content_type: application/pdf
creator: cord
date_created: 2025-08-14T08:11:57Z
date_updated: 2025-08-14T08:11:57Z
file_id: '60930'
file_name: main.pdf
file_size: 259907
relation: main_file
success: 1
file_date_updated: 2025-08-14T08:11:57Z
has_accepted_license: '1'
keyword:
- diarization
- source separation
- mixture model
- meeting
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2410.21455
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '508'
name: Automatische Transkription von Gesprächssituationen
publication: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
status: public
title: Simultaneous Diarization and Separation of Meetings through the Integration
of Statistical Mixture Models
type: conference
user_id: '44393'
year: '2024'
...
---
_id: '53659'
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: Cătălin
full_name: Zorilă, Cătălin
last_name: Zorilă
- 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, Zorilă C, Doddipatla R, Haeb-Umbach R. Geodesic
Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting
Scenarios. In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP). IEEE; 2024. doi:10.1109/icassp48485.2024.10445911'
apa: Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach,
R. (2024). Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization
of Meeting Scenarios. ICASSP 2024 - 2024 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP). 2024 IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP), Seoul. https://doi.org/10.1109/icassp48485.2024.10445911
bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_Zorilă_Doddipatla_Haeb-Umbach_2024,
title={Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization
of Meeting Scenarios}, DOI={10.1109/icassp48485.2024.10445911},
booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Cord-Landwehr, Tobias
and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach,
Reinhold}, year={2024} }'
chicago: Cord-Landwehr, Tobias, Christoph Boeddeker, Cătălin Zorilă, Rama Doddipatla,
and Reinhold Haeb-Umbach. “Geodesic Interpolation of Frame-Wise Speaker Embeddings
for the Diarization of Meeting Scenarios.” In ICASSP 2024 - 2024 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024.
https://doi.org/10.1109/icassp48485.2024.10445911.
ieee: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, and R. Haeb-Umbach,
“Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of
Meeting Scenarios,” presented at the 2024 IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP), Seoul, 2024, doi: 10.1109/icassp48485.2024.10445911.'
mla: Cord-Landwehr, Tobias, et al. “Geodesic Interpolation of Frame-Wise Speaker
Embeddings for the Diarization of Meeting Scenarios.” ICASSP 2024 - 2024 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, 2024, doi:10.1109/icassp48485.2024.10445911.
short: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach,
in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), IEEE, 2024.'
conference:
location: Seoul
name: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP)
date_created: 2024-04-25T12:57:22Z
date_updated: 2025-08-14T08:11:07Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp48485.2024.10445911
file:
- access_level: closed
content_type: application/pdf
creator: cord
date_created: 2025-08-14T08:09:52Z
date_updated: 2025-08-14T08:09:52Z
file_id: '60929'
file_name: main.pdf
file_size: 254478
relation: main_file
success: 1
file_date_updated: 2025-08-14T08:09:52Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '508'
name: Automatische Transkription von Gesprächssituationen
publication: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization
of Meeting Scenarios
type: conference
user_id: '44393'
year: '2024'
...
---
_id: '48391'
author:
- first_name: Rohith
full_name: Aralikatti, Rohith
last_name: Aralikatti
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Gordon
full_name: Wichern, Gordon
last_name: Wichern
- first_name: Aswin
full_name: Subramanian, Aswin
last_name: Subramanian
- first_name: Jonathan
full_name: Le Roux, Jonathan
last_name: Le Roux
citation:
ama: 'Aralikatti R, Boeddeker C, Wichern G, Subramanian A, Le Roux J. Reverberation
as Supervision For Speech Separation. In: ICASSP 2023 - 2023 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2023.
doi:10.1109/icassp49357.2023.10095022'
apa: Aralikatti, R., Boeddeker, C., Wichern, G., Subramanian, A., & Le Roux,
J. (2023). Reverberation as Supervision For Speech Separation. ICASSP 2023
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). https://doi.org/10.1109/icassp49357.2023.10095022
bibtex: '@inproceedings{Aralikatti_Boeddeker_Wichern_Subramanian_Le Roux_2023, title={Reverberation
as Supervision For Speech Separation}, DOI={10.1109/icassp49357.2023.10095022},
booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Aralikatti, Rohith
and Boeddeker, Christoph and Wichern, Gordon and Subramanian, Aswin and Le Roux,
Jonathan}, year={2023} }'
chicago: Aralikatti, Rohith, Christoph Boeddeker, Gordon Wichern, Aswin Subramanian,
and Jonathan Le Roux. “Reverberation as Supervision For Speech Separation.” In
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). IEEE, 2023. https://doi.org/10.1109/icassp49357.2023.10095022.
ieee: 'R. Aralikatti, C. Boeddeker, G. Wichern, A. Subramanian, and J. Le Roux,
“Reverberation as Supervision For Speech Separation,” 2023, doi: 10.1109/icassp49357.2023.10095022.'
mla: Aralikatti, Rohith, et al. “Reverberation as Supervision For Speech Separation.”
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), IEEE, 2023, doi:10.1109/icassp49357.2023.10095022.
short: 'R. Aralikatti, C. Boeddeker, G. Wichern, A. Subramanian, J. Le Roux, in:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), IEEE, 2023.'
date_created: 2023-10-23T15:09:13Z
date_updated: 2023-10-23T15:10:16Z
department:
- _id: '54'
doi: 10.1109/icassp49357.2023.10095022
language:
- iso: eng
publication: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Reverberation as Supervision For Speech Separation
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '35602'
abstract:
- lang: eng
text: "Continuous Speech Separation (CSS) has been proposed to address speech overlaps
during the analysis of realistic meeting-like conversations by eliminating any
overlaps before further processing.\r\nCSS separates a recording of arbitrarily
many speakers into a small number of overlap-free output channels, where each
output channel may contain speech of multiple speakers.\r\nThis is often done
by applying a conventional separation model trained with Utterance-level Permutation
Invariant Training (uPIT), which exclusively maps a speaker to an output channel,
in sliding window approach called stitching.\r\nRecently, we introduced an alternative
training scheme called Graph-PIT that teaches the separation network to directly
produce output streams in the required format without stitching.\r\nIt can handle
an arbitrary number of speakers as long as never more of them overlap at the same
time than the separator has output channels.\r\nIn this contribution, we further
investigate the Graph-PIT training scheme.\r\nWe show in extended experiments
that models trained with Graph-PIT also work in challenging reverberant conditions.\r\nModels
trained in this way are able to perform segment-less CSS, i.e., without stitching,
and achieve comparable and often better separation quality than the conventional
CSS with uPIT and stitching.\r\nWe simplify the training schedule for Graph-PIT
with the recently proposed Source Aggregated Signal-to-Distortion Ratio (SA-SDR)
loss.\r\nIt eliminates unfavorable properties of the previously used A-SDR loss
and thus enables training with Graph-PIT from scratch.\r\nGraph-PIT training relaxes
the constraints w.r.t. the allowed numbers of speakers and speaking patterns which
allows using a larger variety of training data.\r\nFurthermore, we introduce novel
signal-level evaluation metrics for meeting scenarios, namely the source-aggregated
scale- and convolution-invariant Signal-to-Distortion Ratio (SA-SI-SDR and SA-CI-SDR),
which are generalizations of the commonly used SDR-based metrics for the CSS case."
article_type: original
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. Segment-Less
Continuous Speech Separation of Meetings: Training and Evaluation Criteria. IEEE/ACM
Transactions on Audio, Speech, and Language Processing. 2023;31:576-589. doi:10.1109/taslp.2022.3228629'
apa: 'von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach,
R. (2023). Segment-Less Continuous Speech Separation of Meetings: Training and
Evaluation Criteria. IEEE/ACM Transactions on Audio, Speech, and Language Processing,
31, 576–589. https://doi.org/10.1109/taslp.2022.3228629'
bibtex: '@article{von Neumann_Kinoshita_Boeddeker_Delcroix_Haeb-Umbach_2023, title={Segment-Less
Continuous Speech Separation of Meetings: Training and Evaluation Criteria}, volume={31},
DOI={10.1109/taslp.2022.3228629},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={von Neumann, Thilo and
Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach,
Reinhold}, year={2023}, pages={576–589} }'
chicago: 'Neumann, Thilo von, Keisuke Kinoshita, Christoph Boeddeker, Marc Delcroix,
and Reinhold Haeb-Umbach. “Segment-Less Continuous Speech Separation of Meetings:
Training and Evaluation Criteria.” IEEE/ACM Transactions on Audio, Speech,
and Language Processing 31 (2023): 576–89. https://doi.org/10.1109/taslp.2022.3228629.'
ieee: 'T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach,
“Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation
Criteria,” IEEE/ACM Transactions on Audio, Speech, and Language Processing,
vol. 31, pp. 576–589, 2023, doi: 10.1109/taslp.2022.3228629.'
mla: 'von Neumann, Thilo, et al. “Segment-Less Continuous Speech Separation of Meetings:
Training and Evaluation Criteria.” IEEE/ACM Transactions on Audio, Speech,
and Language Processing, vol. 31, Institute of Electrical and Electronics
Engineers (IEEE), 2023, pp. 576–89, doi:10.1109/taslp.2022.3228629.'
short: T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach,
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31 (2023) 576–589.
date_created: 2023-01-09T17:24:17Z
date_updated: 2023-11-15T12:16:11Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/taslp.2022.3228629
file:
- access_level: open_access
content_type: application/pdf
creator: haebumb
date_created: 2023-01-09T17:46:05Z
date_updated: 2023-01-11T08:50:19Z
file_id: '35607'
file_name: main.pdf
file_size: 7185077
relation: main_file
file_date_updated: 2023-01-11T08:50:19Z
has_accepted_license: '1'
intvolume: ' 31'
keyword:
- Continuous Speech Separation
- Source Separation
- Graph-PIT
- Dynamic Programming
- Permutation Invariant Training
language:
- iso: eng
oa: '1'
page: 576-589
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing
publication_identifier:
issn:
- 2329-9290
- 2329-9304
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
quality_controlled: '1'
status: public
title: 'Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation
Criteria'
type: journal_article
user_id: '49870'
volume: 31
year: '2023'
...
---
_id: '48281'
abstract:
- lang: eng
text: "\tWe propose a general framework to compute the word error rate (WER) of
ASR systems that process recordings containing multiple speakers at their input
and that produce multiple output word sequences (MIMO).\r\n\tSuch ASR systems
are typically required, e.g., for meeting transcription.\r\n\tWe provide an efficient
implementation based on a dynamic programming search in a multi-dimensional Levenshtein
distance tensor under the constraint that a reference utterance must be matched
consistently with one hypothesis output. \r\n\tThis also results in an efficient
implementation of the ORC WER which previously suffered from exponential complexity.\r\n\tWe
give an overview of commonly used WER definitions for multi-speaker scenarios
and show that they are specializations of the above MIMO WER tuned to particular
application scenarios. \r\n\tWe conclude with a discussion of the pros and cons
of the various WER definitions and a recommendation when to use which."
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: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- 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, Boeddeker C, Kinoshita K, Delcroix M, Haeb-Umbach R. On Word
Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech
Recognition Systems. In: ICASSP 2023 - 2023 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2023. doi:10.1109/icassp49357.2023.10094784'
apa: von Neumann, T., Boeddeker, C., Kinoshita, K., Delcroix, M., & Haeb-Umbach,
R. (2023). On Word Error Rate Definitions and Their Efficient Computation for
Multi-Speaker Speech Recognition Systems. ICASSP 2023 - 2023 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp49357.2023.10094784
bibtex: '@inproceedings{von Neumann_Boeddeker_Kinoshita_Delcroix_Haeb-Umbach_2023,
title={On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker
Speech Recognition Systems}, DOI={10.1109/icassp49357.2023.10094784},
booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={von Neumann, Thilo
and Boeddeker, Christoph and Kinoshita, Keisuke and Delcroix, Marc and Haeb-Umbach,
Reinhold}, year={2023} }'
chicago: Neumann, Thilo von, Christoph Boeddeker, Keisuke Kinoshita, Marc Delcroix,
and Reinhold Haeb-Umbach. “On Word Error Rate Definitions and Their Efficient
Computation for Multi-Speaker Speech Recognition Systems.” In ICASSP 2023 -
2023 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). IEEE, 2023. https://doi.org/10.1109/icassp49357.2023.10094784.
ieee: 'T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, and R. Haeb-Umbach,
“On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker
Speech Recognition Systems,” 2023, doi: 10.1109/icassp49357.2023.10094784.'
mla: von Neumann, Thilo, et al. “On Word Error Rate Definitions and Their Efficient
Computation for Multi-Speaker Speech Recognition Systems.” ICASSP 2023 - 2023
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, 2023, doi:10.1109/icassp49357.2023.10094784.
short: 'T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, R. Haeb-Umbach,
in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), IEEE, 2023.'
date_created: 2023-10-19T07:38:31Z
date_updated: 2025-02-12T09:16:34Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp49357.2023.10094784
file:
- access_level: open_access
content_type: application/pdf
creator: tvn
date_created: 2023-10-19T07:39:57Z
date_updated: 2023-10-19T07:41:56Z
file_id: '48282'
file_name: ICASSP_2023_Meeting_Evaluation.pdf
file_size: 204994
relation: main_file
file_date_updated: 2023-10-19T07:41:56Z
has_accepted_license: '1'
keyword:
- Word Error Rate
- Meeting Recognition
- Levenshtein Distance
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/10094784
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 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/fgnt/meeteval
status: public
title: On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker
Speech Recognition Systems
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '48275'
abstract:
- lang: eng
text: "MeetEval is an open-source toolkit to evaluate all kinds of meeting transcription
systems.\r\nIt provides a unified interface for the computation of commonly used
Word Error Rates (WERs), specifically cpWER, ORC WER and MIMO WER along other
WER definitions.\r\nWe extend the cpWER computation by a temporal constraint to
ensure that only words are identified as correct when the temporal alignment is
plausible.\r\nThis leads to a better quality of the matching of the hypothesis
string to the reference string that more closely resembles the actual transcription
quality, and a system is penalized if it provides poor time annotations.\r\nSince
word-level timing information is often not available, we present a way to approximate
exact word-level timings from segment-level timings (e.g., a sentence) and show
that the approximation leads to a similar WER as a matching with exact word-level
annotations.\r\nAt the same time, the time constraint leads to a speedup of the
matching algorithm, which outweighs the additional overhead caused by processing
the time stamps."
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: 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, Boeddeker C, Delcroix M, Haeb-Umbach R. MeetEval: A Toolkit
for Computation of Word Error Rates for Meeting Transcription Systems. In: Proc.
CHiME 2023 Workshop on Speech Processing in Everyday Environments. ; 2023.'
apa: 'von Neumann, T., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2023).
MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription
Systems. Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments.
CHiME 2023 Workshop on Speech Processing in Everyday Environments, Dublin.'
bibtex: '@inproceedings{von Neumann_Boeddeker_Delcroix_Haeb-Umbach_2023, title={MeetEval:
A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems},
booktitle={Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments},
author={von Neumann, Thilo and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach,
Reinhold}, year={2023} }'
chicago: 'Neumann, Thilo von, Christoph Boeddeker, Marc Delcroix, and Reinhold Haeb-Umbach.
“MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription
Systems.” In Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments,
2023.'
ieee: 'T. von Neumann, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach, “MeetEval:
A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems,”
presented at the CHiME 2023 Workshop on Speech Processing in Everyday Environments,
Dublin, 2023.'
mla: 'von Neumann, Thilo, et al. “MeetEval: A Toolkit for Computation of Word Error
Rates for Meeting Transcription Systems.” Proc. CHiME 2023 Workshop on Speech
Processing in Everyday Environments, 2023.'
short: 'T. von Neumann, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: Proc. CHiME
2023 Workshop on Speech Processing in Everyday Environments, 2023.'
conference:
location: Dublin
name: CHiME 2023 Workshop on Speech Processing in Everyday Environments
date_created: 2023-10-19T07:24:51Z
date_updated: 2025-02-12T09:12:05Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: tvn
date_created: 2023-10-19T07:19:59Z
date_updated: 2023-10-19T07:19:59Z
file_id: '48276'
file_name: Chime_7__MeetEval.pdf
file_size: 263744
relation: main_file
file_date_updated: 2023-10-19T07:19:59Z
has_accepted_license: '1'
keyword:
- Speech Recognition
- Word Error Rate
- Meeting Transcription
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2307.11394
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: Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/fgnt/meeteval
status: public
title: 'MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription
Systems'
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '47128'
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: Cătălin
full_name: Zorilă, Cătălin
last_name: Zorilă
- 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, Zorilă C, Doddipatla R, Haeb-Umbach R. Frame-Wise
and Overlap-Robust Speaker Embeddings for Meeting Diarization. In: ICASSP 2023
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). IEEE; 2023. doi:10.1109/icassp49357.2023.10095370'
apa: Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach,
R. (2023). Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). 2023 IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP), Rhodes. https://doi.org/10.1109/icassp49357.2023.10095370
bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_Zorilă_Doddipatla_Haeb-Umbach_2023,
title={Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization},
DOI={10.1109/icassp49357.2023.10095370},
booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Cord-Landwehr, Tobias
and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach,
Reinhold}, year={2023} }'
chicago: Cord-Landwehr, Tobias, Christoph Boeddeker, Cătălin Zorilă, Rama Doddipatla,
and Reinhold Haeb-Umbach. “Frame-Wise and Overlap-Robust Speaker Embeddings for
Meeting Diarization.” In ICASSP 2023 - 2023 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. https://doi.org/10.1109/icassp49357.2023.10095370.
ieee: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, and R. Haeb-Umbach,
“Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization,” presented
at the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), Rhodes, 2023, doi: 10.1109/icassp49357.2023.10095370.'
mla: Cord-Landwehr, Tobias, et al. “Frame-Wise and Overlap-Robust Speaker Embeddings
for Meeting Diarization.” ICASSP 2023 - 2023 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023, doi:10.1109/icassp49357.2023.10095370.
short: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach,
in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), IEEE, 2023.'
conference:
location: Rhodes
name: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP)
date_created: 2023-09-19T14:01:20Z
date_updated: 2025-02-12T09:14:45Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp49357.2023.10095370
file:
- access_level: open_access
content_type: application/pdf
creator: cord
date_created: 2023-11-15T14:56:18Z
date_updated: 2023-11-15T14:56:18Z
file_id: '48932'
file_name: teacher_student_embeddings.pdf
file_size: 246306
relation: main_file
file_date_updated: 2023-11-15T14:56:18Z
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 2023 - 2023 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '47129'
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: Cătălin
full_name: Zorilă, Cătălin
last_name: Zorilă
- 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, Zorilă C, Doddipatla R, Haeb-Umbach R. A Teacher-Student
Approach for Extracting Informative Speaker Embeddings From Speech Mixtures. In:
INTERSPEECH 2023. ISCA; 2023. doi:10.21437/interspeech.2023-1379'
apa: Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach,
R. (2023). A Teacher-Student Approach for Extracting Informative Speaker Embeddings
From Speech Mixtures. INTERSPEECH 2023. https://doi.org/10.21437/interspeech.2023-1379
bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_Zorilă_Doddipatla_Haeb-Umbach_2023,
title={A Teacher-Student Approach for Extracting Informative Speaker Embeddings
From Speech Mixtures}, DOI={10.21437/interspeech.2023-1379},
booktitle={INTERSPEECH 2023}, publisher={ISCA}, author={Cord-Landwehr, Tobias
and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach,
Reinhold}, year={2023} }'
chicago: Cord-Landwehr, Tobias, Christoph Boeddeker, Cătălin Zorilă, Rama Doddipatla,
and Reinhold Haeb-Umbach. “A Teacher-Student Approach for Extracting Informative
Speaker Embeddings From Speech Mixtures.” In INTERSPEECH 2023. ISCA, 2023.
https://doi.org/10.21437/interspeech.2023-1379.
ieee: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, and R. Haeb-Umbach,
“A Teacher-Student Approach for Extracting Informative Speaker Embeddings From
Speech Mixtures,” 2023, doi: 10.21437/interspeech.2023-1379.'
mla: Cord-Landwehr, Tobias, et al. “A Teacher-Student Approach for Extracting Informative
Speaker Embeddings From Speech Mixtures.” INTERSPEECH 2023, ISCA, 2023,
doi:10.21437/interspeech.2023-1379.
short: 'T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach,
in: INTERSPEECH 2023, ISCA, 2023.'
date_created: 2023-09-19T14:34:37Z
date_updated: 2025-02-12T09:15:28Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.21437/interspeech.2023-1379
file:
- access_level: open_access
content_type: application/pdf
creator: cord
date_created: 2023-11-15T15:00:02Z
date_updated: 2023-11-15T15:00:02Z
file_id: '48933'
file_name: multispeaker_embeddings.pdf
file_size: 303203
relation: main_file
file_date_updated: 2023-11-15T15:00:02Z
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: INTERSPEECH 2023
publication_status: published
publisher: ISCA
status: public
title: A Teacher-Student Approach for Extracting Informative Speaker Embeddings From
Speech Mixtures
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '54439'
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. Multi-stage diarization
refinement for the CHiME-7 DASR scenario. In: 7th International Workshop on
Speech Processing in Everyday Environments (CHiME 2023). ISCA; 2023. doi:10.21437/chime.2023-10'
apa: Boeddeker, C., Cord-Landwehr, T., von Neumann, T., & Haeb-Umbach, R. (2023).
Multi-stage diarization refinement for the CHiME-7 DASR scenario. 7th International
Workshop on Speech Processing in Everyday Environments (CHiME 2023). https://doi.org/10.21437/chime.2023-10
bibtex: '@inproceedings{Boeddeker_Cord-Landwehr_von Neumann_Haeb-Umbach_2023, title={Multi-stage
diarization refinement for the CHiME-7 DASR scenario}, DOI={10.21437/chime.2023-10},
booktitle={7th International Workshop on Speech Processing in Everyday Environments
(CHiME 2023)}, publisher={ISCA}, author={Boeddeker, Christoph and Cord-Landwehr,
Tobias and von Neumann, Thilo and Haeb-Umbach, Reinhold}, year={2023} }'
chicago: Boeddeker, Christoph, Tobias Cord-Landwehr, Thilo von Neumann, and Reinhold
Haeb-Umbach. “Multi-Stage Diarization Refinement for the CHiME-7 DASR Scenario.”
In 7th International Workshop on Speech Processing in Everyday Environments
(CHiME 2023). ISCA, 2023. https://doi.org/10.21437/chime.2023-10.
ieee: 'C. Boeddeker, T. Cord-Landwehr, T. von Neumann, and R. Haeb-Umbach, “Multi-stage
diarization refinement for the CHiME-7 DASR scenario,” 2023, doi: 10.21437/chime.2023-10.'
mla: Boeddeker, Christoph, et al. “Multi-Stage Diarization Refinement for the CHiME-7
DASR Scenario.” 7th International Workshop on Speech Processing in Everyday
Environments (CHiME 2023), ISCA, 2023, doi:10.21437/chime.2023-10.
short: 'C. Boeddeker, T. Cord-Landwehr, T. von Neumann, R. Haeb-Umbach, in: 7th
International Workshop on Speech Processing in Everyday Environments (CHiME 2023),
ISCA, 2023.'
date_created: 2024-05-23T15:16:15Z
date_updated: 2025-02-12T09:16:13Z
department:
- _id: '54'
doi: 10.21437/chime.2023-10
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isca-archive.org/chime_2023/boeddeker23_chime.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: 7th International Workshop on Speech Processing in Everyday Environments
(CHiME 2023)
publication_status: published
publisher: ISCA
status: public
title: Multi-stage diarization refinement for the CHiME-7 DASR scenario
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '48390'
author:
- first_name: Simon
full_name: Berger, Simon
last_name: Berger
- first_name: Peter
full_name: Vieting, Peter
last_name: Vieting
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Ralf
full_name: Schlüter, Ralf
last_name: Schlüter
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Berger S, Vieting P, Boeddeker C, Schlüter R, Haeb-Umbach R. Mixture Encoder
for Joint Speech Separation and Recognition. In: INTERSPEECH 2023. ISCA;
2023. doi:10.21437/interspeech.2023-1815'
apa: Berger, S., Vieting, P., Boeddeker, C., Schlüter, R., & Haeb-Umbach, R.
(2023). Mixture Encoder for Joint Speech Separation and Recognition. INTERSPEECH
2023. https://doi.org/10.21437/interspeech.2023-1815
bibtex: '@inproceedings{Berger_Vieting_Boeddeker_Schlüter_Haeb-Umbach_2023, title={Mixture
Encoder for Joint Speech Separation and Recognition}, DOI={10.21437/interspeech.2023-1815},
booktitle={INTERSPEECH 2023}, publisher={ISCA}, author={Berger, Simon and Vieting,
Peter and Boeddeker, Christoph and Schlüter, Ralf and Haeb-Umbach, Reinhold},
year={2023} }'
chicago: Berger, Simon, Peter Vieting, Christoph Boeddeker, Ralf Schlüter, and Reinhold
Haeb-Umbach. “Mixture Encoder for Joint Speech Separation and Recognition.” In
INTERSPEECH 2023. ISCA, 2023. https://doi.org/10.21437/interspeech.2023-1815.
ieee: 'S. Berger, P. Vieting, C. Boeddeker, R. Schlüter, and R. Haeb-Umbach, “Mixture
Encoder for Joint Speech Separation and Recognition,” 2023, doi: 10.21437/interspeech.2023-1815.'
mla: Berger, Simon, et al. “Mixture Encoder for Joint Speech Separation and Recognition.”
INTERSPEECH 2023, ISCA, 2023, doi:10.21437/interspeech.2023-1815.
short: 'S. Berger, P. Vieting, C. Boeddeker, R. Schlüter, R. Haeb-Umbach, in: INTERSPEECH
2023, ISCA, 2023.'
date_created: 2023-10-23T15:06:39Z
date_updated: 2025-02-12T09:11:30Z
department:
- _id: '54'
doi: 10.21437/interspeech.2023-1815
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isca-archive.org/interspeech_2023/berger23_interspeech.pdf
oa: '1'
project:
- _id: '508'
grant_number: '448568305'
name: Automatische Transkription von Gesprächssituationen
publication: INTERSPEECH 2023
publication_status: published
publisher: ISCA
status: public
title: Mixture Encoder for Joint Speech Separation and Recognition
type: conference
user_id: '40767'
year: '2023'
...
---
_id: '33669'
abstract:
- lang: eng
text: Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing
attention in recent years. Most existing methods feature a signal processing frontend
and an ASR backend. In realistic scenarios, these modules are usually trained
separately or progressively, which suffers from either inter-module mismatch or
a complicated training process. In this paper, we propose an end-to-end multi-channel
model that jointly optimizes the speech enhancement (including speech dereverberation,
denoising, and separation) frontend and the ASR backend as a single system. To
the best of our knowledge, this is the first work that proposes to optimize dereverberation,
beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend
module consists of a weighted prediction error (WPE) based submodule for dereverberation
and a neural beamformer for denoising and speech separation. For the backend,
we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that
the entire model is differentiable and can be optimized in a fully end-to-end
manner using only the ASR criterion, without the need of parallel signal-level
labels. We evaluate the proposed model on several multi-speaker benchmark datasets,
and experimental results show that the fully E2E ASR model can achieve competitive
performance on both noisy and reverberant conditions, with over 30% relative word
error rate (WER) reduction over the single-channel baseline systems.
author:
- first_name: Wangyou
full_name: Zhang, Wangyou
last_name: Zhang
- first_name: Xuankai
full_name: Chang, Xuankai
last_name: Chang
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
- first_name: Yanmin
full_name: Qian, Yanmin
last_name: Qian
citation:
ama: Zhang W, Chang X, Boeddeker C, Nakatani T, Watanabe S, Qian Y. End-to-End Dereverberation,
Beamforming, and Speech Recognition in A Cocktail Party. IEEE/ACM Transactions
on Audio, Speech, and Language Processing. Published online 2022. doi:10.1109/TASLP.2022.3209942
apa: Zhang, W., Chang, X., Boeddeker, C., Nakatani, T., Watanabe, S., & Qian,
Y. (2022). End-to-End Dereverberation, Beamforming, and Speech Recognition in
A Cocktail Party. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
https://doi.org/10.1109/TASLP.2022.3209942
bibtex: '@article{Zhang_Chang_Boeddeker_Nakatani_Watanabe_Qian_2022, title={End-to-End
Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party}, DOI={10.1109/TASLP.2022.3209942},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Zhang,
Wangyou and Chang, Xuankai and Boeddeker, Christoph and Nakatani, Tomohiro and
Watanabe, Shinji and Qian, Yanmin}, year={2022} }'
chicago: Zhang, Wangyou, Xuankai Chang, Christoph Boeddeker, Tomohiro Nakatani,
Shinji Watanabe, and Yanmin Qian. “End-to-End Dereverberation, Beamforming, and
Speech Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech,
and Language Processing, 2022. https://doi.org/10.1109/TASLP.2022.3209942.
ieee: 'W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, and Y. Qian,
“End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail
Party,” IEEE/ACM Transactions on Audio, Speech, and Language Processing,
2022, doi: 10.1109/TASLP.2022.3209942.'
mla: Zhang, Wangyou, et al. “End-to-End Dereverberation, Beamforming, and Speech
Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech, and
Language Processing, 2022, doi:10.1109/TASLP.2022.3209942.
short: W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, Y. Qian, IEEE/ACM
Transactions on Audio, Speech, and Language Processing (2022).
date_created: 2022-10-11T07:27:51Z
date_updated: 2022-12-05T12:35:31Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/TASLP.2022.3209942
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2022-10-11T07:23:13Z
date_updated: 2022-10-11T07:23:13Z
file_id: '33674'
file_name: End-to-End_Dereverberation_Beamforming_and_Speech_Recognition_in_A_Cocktail_Party.pdf
file_size: 6167931
relation: main_file
file_date_updated: 2022-10-11T07:23:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing
publication_identifier:
issn:
- 'Print ISSN: 2329-9290 Electronic ISSN: 2329-9304'
publication_status: published
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/abstract/document/9904314
status: public
title: End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail
Party
type: journal_article
user_id: '40767'
year: '2022'
...
---
_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: 2022 International Workshop on
Acoustic Signal Enhancement (IWAENC). ; 2022.'
apa: 'Cord-Landwehr, T., von Neumann, T., Boeddeker, C., & Haeb-Umbach, R. (2022).
MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. 2022 International
Workshop on Acoustic Signal Enhancement (IWAENC). 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 2022 International Workshop on Acoustic Signal Enhancement (IWAENC),
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.” 2022 International Workshop on Acoustic Signal Enhancement
(IWAENC), 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: '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:
2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE;
2022.'
apa: 'Cord-Landwehr, T., Boeddeker, C., von Neumann, T., Zorila, C., Doddipatla,
R., & Haeb-Umbach, R. (2022). Monaural source separation: From anechoic to
reverberant environments. 2022 International Workshop on Acoustic Signal Enhancement
(IWAENC). 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 2022 International Workshop
on Acoustic Signal Enhancement (IWAENC). 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.” 2022 International Workshop on Acoustic Signal Enhancement
(IWAENC), 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: ICASSP 2022
- 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9746757'
apa: 'von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach,
R. (2022). SA-SDR: A Novel Loss Function for Separation of Meeting Style Data.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9746757'
bibtex: '@inproceedings{von Neumann_Kinoshita_Boeddeker_Delcroix_Haeb-Umbach_2022,
title={SA-SDR: A Novel Loss Function for Separation of Meeting Style Data}, DOI={10.1109/icassp43922.2022.9746757},
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 ICASSP 2022 - 2022 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP). IEEE, 2022. https://doi.org/10.1109/icassp43922.2022.9746757.'
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:
10.1109/icassp43922.2022.9746757.'
mla: 'von Neumann, Thilo, et al. “SA-SDR: A Novel Loss Function for Separation of
Meeting Style Data.” ICASSP 2022 - 2022 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746757.'
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. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
Network. arXiv; 2022. doi:10.48550/ARXIV.2205.00944
apa: Gburrek, T., Boeddeker, C., von Neumann, T., Cord-Landwehr, T., Schmalenstroeer,
J., & Haeb-Umbach, R. (2022). A Meeting Transcription System for an Ad-Hoc
Acoustic Sensor Network. arXiv. https://doi.org/10.48550/ARXIV.2205.00944
bibtex: '@book{Gburrek_Boeddeker_von Neumann_Cord-Landwehr_Schmalenstroeer_Haeb-Umbach_2022,
title={A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network},
DOI={10.48550/ARXIV.2205.00944},
publisher={arXiv}, author={Gburrek, Tobias and Boeddeker, Christoph and von Neumann,
Thilo and Cord-Landwehr, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold},
year={2022} }'
chicago: Gburrek, Tobias, Christoph Boeddeker, Thilo von Neumann, Tobias Cord-Landwehr,
Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A Meeting Transcription System
for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022. https://doi.org/10.48550/ARXIV.2205.00944.
ieee: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer,
and R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor
Network. arXiv, 2022.
mla: Gburrek, Tobias, et al. A Meeting Transcription System for an Ad-Hoc Acoustic
Sensor Network. arXiv, 2022, doi:10.48550/ARXIV.2205.00944.
short: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer,
R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network,
arXiv, 2022.
date_created: 2022-10-18T11:10:58Z
date_updated: 2025-02-12T09:03:42Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.48550/ARXIV.2205.00944
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:42:04Z
date_updated: 2023-11-17T06:42:04Z
file_id: '48992'
file_name: meeting_transcription_22.pdf
file_size: 199006
relation: main_file
file_date_updated: 2023-11-17T06:42:04Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '508'
grant_number: '448568305'
name: Automatische Transkription von Gesprächssituationen
publisher: arXiv
status: public
title: A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
type: misc
user_id: '40767'
year: '2022'
...