---
_id: '11752'
abstract:
- lang: eng
  text: ' "In this contribution we derive a variational EM (VEM) algorithm for model
    selection in complex Watson mixture models, which have been recently proposed
    as a model of the distribution of normalized microphone array signals in the short-time
    Fourier transform domain. The VEM algorithm is applied to count the number of
    active sources in a speech mixture by iteratively estimating the mode vectors
    of the Watson distributions and suppressing the signals from the corresponding
    directions. A key theoretical contribution is the derivation of the MMSE estimate
    of a quadratic form involving the mode vector of the Watson distribution. The
    experimental results demonstrate the effectiveness of the source counting approach
    at moderately low SNR. It is further shown that the VEM algorithm is more robust
    w.r.t. used threshold values." '
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Dang Hai
  full_name: Tran Vu, Dang Hai
  last_name: Tran Vu
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Source Counting in Speech Mixtures
    Using a Variational EM Approach for Complexwatson Mixture Models. In: <i>39th
    International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>.
    ; 2014.'
  apa: Drude, L., Chinaev, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2014). Source
    Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson
    Mixture Models. In <i>39th International Conference on Acoustics, Speech and Signal
    Processing (ICASSP 2014)</i>.
  bibtex: '@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Source Counting
    in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models},
    booktitle={39th International Conference on Acoustics, Speech and Signal Processing
    (ICASSP 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai
    and Haeb-Umbach, Reinhold}, year={2014} }'
  chicago: Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach.
    “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson
    Mixture Models.” In <i>39th International Conference on Acoustics, Speech and
    Signal Processing (ICASSP 2014)</i>, 2014.
  ieee: L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Source Counting
    in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models,”
    in <i>39th International Conference on Acoustics, Speech and Signal Processing
    (ICASSP 2014)</i>, 2014.
  mla: Drude, Lukas, et al. “Source Counting in Speech Mixtures Using a Variational
    EM Approach for Complexwatson Mixture Models.” <i>39th International Conference
    on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.
  short: 'L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 39th International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.'
date_created: 2019-07-12T05:27:34Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHa2014.pdf
oa: '1'
publication: 39th International Conference on Acoustics, Speech and Signal Processing
  (ICASSP 2014)
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHa2014_Poster.pdf
status: public
title: Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson
  Mixture Models
type: conference
user_id: '44006'
year: '2014'
...
---
_id: '11753'
abstract:
- lang: eng
  text: This contribution describes a step-wise source counting algorithm to determine
    the number of speakers in an offline scenario. Each speaker is identified by a
    variational expectation maximization (VEM) algorithm for complex Watson mixture
    models and therefore directly yields beamforming vectors for a subsequent speech
    separation process. An observation selection criterion is proposed which improves
    the robustness of the source counting in noise. The algorithm is compared to an
    alternative VEM approach with Gaussian mixture models based on directions of arrival
    and shown to deliver improved source counting accuracy. The article concludes
    by extending the offline algorithm towards a low-latency online estimation of
    the number of active sources from the streaming input data.
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Dang Hai
  full_name: Tran Vu, Dang Hai
  last_name: Tran Vu
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting
    in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.
    In: <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>.
    ; 2014:213-217.'
  apa: Drude, L., Chinaev, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2014). Towards
    Online Source Counting in Speech Mixtures Applying a Variational EM for Complex
    Watson Mixture Models. In <i>14th International Workshop on Acoustic Signal Enhancement
    (IWAENC 2014)</i> (pp. 213–217).
  bibtex: '@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Towards Online
    Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson
    Mixture Models}, booktitle={14th International Workshop on Acoustic Signal Enhancement
    (IWAENC 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai
    and Haeb-Umbach, Reinhold}, year={2014}, pages={213–217} }'
  chicago: Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach.
    “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for
    Complex Watson Mixture Models.” In <i>14th International Workshop on Acoustic
    Signal Enhancement (IWAENC 2014)</i>, 213–17, 2014.
  ieee: L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source
    Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture
    Models,” in <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC
    2014)</i>, 2014, pp. 213–217.
  mla: Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying
    a Variational EM for Complex Watson Mixture Models.” <i>14th International Workshop
    on Acoustic Signal Enhancement (IWAENC 2014)</i>, 2014, pp. 213–17.
  short: 'L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International
    Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.'
date_created: 2019-07-12T05:27:35Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
keyword:
- Accuracy
- Acoustics
- Estimation
- Mathematical model
- Soruce separation
- Speech
- Vectors
- Bayes methods
- Blind source separation
- Directional statistics
- Number of speakers
- Speaker diarization
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14.pdf
oa: '1'
page: 213-217
publication: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14_Poster.pdf
status: public
title: Towards Online Source Counting in Speech Mixtures Applying a Variational EM
  for Complex Watson Mixture Models
type: conference
user_id: '44006'
year: '2014'
...