---
_id: '65606'
abstract:
- lang: eng
  text: Sound capture by microphone arrays opens the possibility to exploit spatial,
    in addition to spectral, information for diarization and signal enhancement, two
    important tasks in meeting transcription. However, there is no one-to-one mapping
    of positions in space to speakers if speakers move. Here, we address this by proposing
    a novel joint spatial and spectral mixture model, whose two submodels are loosely
    coupled by modeling the relationship between speaker and position index probabilistically.
    Thus, spatial and spectral information can be jointly exploited, while at the
    same time allowing for speakers speaking from different positions. Experiments
    on the LibriCSS data set with simulated speaker position changes show great improvements
    over tightly coupled subsystems.
author:
- first_name: Adrian Tobias
  full_name: Meise, Adrian Tobias
  id: '79268'
  last_name: Meise
- 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: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Meise AT, Cord-Landwehr T, Boeddeker C, Delcroix M, Nakatani T, Haeb-Umbach
    R. Loose Coupling of Spectral and Spatial Models for Multi-Channel Diarization
    and Enhancement of Meetings in Dynamic Environments. In: <i>ICASSP 2026 - 2026
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>.
    IEEE; 2026. doi:<a href="https://doi.org/10.1109/icassp55912.2026.11463540">10.1109/icassp55912.2026.11463540</a>'
  apa: Meise, A. T., Cord-Landwehr, T., Boeddeker, C., Delcroix, M., Nakatani, T.,
    &#38; Haeb-Umbach, R. (2026). Loose Coupling of Spectral and Spatial Models for
    Multi-Channel Diarization and Enhancement of Meetings in Dynamic Environments.
    <i>ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal
    Processing (ICASSP)</i>.  2026 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP) , Barcelona. <a href="https://doi.org/10.1109/icassp55912.2026.11463540">https://doi.org/10.1109/icassp55912.2026.11463540</a>
  bibtex: '@inproceedings{Meise_Cord-Landwehr_Boeddeker_Delcroix_Nakatani_Haeb-Umbach_2026,
    title={Loose Coupling of Spectral and Spatial Models for Multi-Channel Diarization
    and Enhancement of Meetings in Dynamic Environments}, DOI={<a href="https://doi.org/10.1109/icassp55912.2026.11463540">10.1109/icassp55912.2026.11463540</a>},
    booktitle={ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)}, publisher={IEEE}, author={Meise, Adrian Tobias
    and Cord-Landwehr, Tobias and Boeddeker, Christoph and Delcroix, Marc and Nakatani,
    Tomohiro and Haeb-Umbach, Reinhold}, year={2026} }'
  chicago: Meise, Adrian Tobias, Tobias Cord-Landwehr, Christoph Boeddeker, Marc Delcroix,
    Tomohiro Nakatani, and Reinhold Haeb-Umbach. “Loose Coupling of Spectral and Spatial
    Models for Multi-Channel Diarization and Enhancement of Meetings in Dynamic Environments.”
    In <i>ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and
    Signal Processing (ICASSP)</i>. IEEE, 2026. <a href="https://doi.org/10.1109/icassp55912.2026.11463540">https://doi.org/10.1109/icassp55912.2026.11463540</a>.
  ieee: 'A. T. Meise, T. Cord-Landwehr, C. Boeddeker, M. Delcroix, T. Nakatani, and
    R. Haeb-Umbach, “Loose Coupling of Spectral and Spatial Models for Multi-Channel
    Diarization and Enhancement of Meetings in Dynamic Environments,” presented at
    the  2026 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP) , Barcelona, 2026, doi: <a href="https://doi.org/10.1109/icassp55912.2026.11463540">10.1109/icassp55912.2026.11463540</a>.'
  mla: Meise, Adrian Tobias, et al. “Loose Coupling of Spectral and Spatial Models
    for Multi-Channel Diarization and Enhancement of Meetings in Dynamic Environments.”
    <i>ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal
    Processing (ICASSP)</i>, IEEE, 2026, doi:<a href="https://doi.org/10.1109/icassp55912.2026.11463540">10.1109/icassp55912.2026.11463540</a>.
  short: 'A.T. Meise, T. Cord-Landwehr, C. Boeddeker, M. Delcroix, T. Nakatani, R.
    Haeb-Umbach, in: ICASSP 2026 - 2026 IEEE International Conference on Acoustics,
    Speech and Signal Processing (ICASSP), IEEE, 2026.'
conference:
  location: Barcelona
  name: ' 2026 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP) '
date_created: 2026-05-11T14:20:48Z
date_updated: 2026-05-15T08:17:25Z
department:
- _id: '54'
- _id: '1063'
doi: 10.1109/icassp55912.2026.11463540
external_id:
  arxiv:
  - https://arxiv.org/abs/2601.16077
keyword:
- mixture models
- meeting processing
- diarization
- source separation
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/pdf/2601.16077
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
publisher: IEEE
status: public
title: Loose Coupling of Spectral and Spatial Models for Multi-Channel Diarization
  and Enhancement of Meetings in Dynamic Environments
type: conference
user_id: '79268'
year: '2026'
...
---
_id: '11716'
abstract:
- lang: eng
  text: The accuracy of automatic speech recognition systems in noisy and reverberant
    environments can be improved notably by exploiting the uncertainty of the estimated
    speech features using so-called uncertainty-of-observation techniques. In this
    paper, we introduce a new Bayesian decision rule that can serve as a mathematical
    framework from which both known and new uncertainty-of-observation techniques
    can be either derived or approximated. The new decision rule in its direct form
    leads to the new significance decoding approach for Gaussian mixture models, which
    results in better performance compared to standard uncertainty-of-observation
    techniques in different additive and convolutive noise scenarios.
author:
- first_name: Ahmed H.
  full_name: Abdelaziz, Ahmed H.
  last_name: Abdelaziz
- first_name: Steffen
  full_name: Zeiler, Steffen
  last_name: Zeiler
- first_name: Dorothea
  full_name: Kolossa, Dorothea
  last_name: Kolossa
- first_name: Volker
  full_name: Leutnant, Volker
  last_name: Leutnant
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance
    decoding. In: <i>Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International
    Conference On</i>. ; 2013:6827-6831. doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638984">10.1109/ICASSP.2013.6638984</a>'
  apa: Abdelaziz, A. H., Zeiler, S., Kolossa, D., Leutnant, V., &#38; Haeb-Umbach,
    R. (2013). GMM-based significance decoding. In <i>Acoustics, Speech and Signal
    Processing (ICASSP), 2013 IEEE International Conference on</i> (pp. 6827–6831).
    <a href="https://doi.org/10.1109/ICASSP.2013.6638984">https://doi.org/10.1109/ICASSP.2013.6638984</a>
  bibtex: '@inproceedings{Abdelaziz_Zeiler_Kolossa_Leutnant_Haeb-Umbach_2013, title={GMM-based
    significance decoding}, DOI={<a href="https://doi.org/10.1109/ICASSP.2013.6638984">10.1109/ICASSP.2013.6638984</a>},
    booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International
    Conference on}, author={Abdelaziz, Ahmed H. and Zeiler, Steffen and Kolossa, Dorothea
    and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2013}, pages={6827–6831}
    }'
  chicago: Abdelaziz, Ahmed H., Steffen Zeiler, Dorothea Kolossa, Volker Leutnant,
    and Reinhold Haeb-Umbach. “GMM-Based Significance Decoding.” In <i>Acoustics,
    Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On</i>,
    6827–31, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6638984">https://doi.org/10.1109/ICASSP.2013.6638984</a>.
  ieee: A. H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, and R. Haeb-Umbach, “GMM-based
    significance decoding,” in <i>Acoustics, Speech and Signal Processing (ICASSP),
    2013 IEEE International Conference on</i>, 2013, pp. 6827–6831.
  mla: Abdelaziz, Ahmed H., et al. “GMM-Based Significance Decoding.” <i>Acoustics,
    Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On</i>,
    2013, pp. 6827–31, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638984">10.1109/ICASSP.2013.6638984</a>.
  short: 'A.H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, R. Haeb-Umbach, in:
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference
    On, 2013, pp. 6827–6831.'
date_created: 2019-07-12T05:26:53Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6638984
keyword:
- Bayes methods
- Gaussian processes
- convolution
- decision theory
- decoding
- noise
- reverberation
- speech coding
- speech recognition
- Bayesian decision rule
- GMM
- Gaussian mixture models
- additive noise scenarios
- automatic speech recognition systems
- convolutive noise scenarios
- decoding approach
- mathematical framework
- reverberant environments
- significance decoding
- speech feature estimation
- uncertainty-of-observation techniques
- Hidden Markov models
- Maximum likelihood decoding
- Noise
- Speech
- Speech recognition
- Uncertainty
- Uncertainty-of-observation
- modified imputation
- noise robust speech recognition
- significance decoding
- uncertainty decoding
language:
- iso: eng
page: 6827-6831
publication: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International
  Conference on
publication_identifier:
  issn:
  - 1520-6149
status: public
title: GMM-based significance decoding
type: conference
user_id: '44006'
year: '2013'
...