Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 459-463

  Walter, Oliver ^a   Drude, Lukas ^a   Haeb Umbach, Reinhold ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

Blind source separation; Chinese restaurant process; nonparametric Bayesian methods; Source counting

Indexed keywords

BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; SPEECH COMMUNICATION;

DIRICHLET DISTRIBUTIONS; FINITE GAUSSIAN MIXTURE MODELS; INFINITE GAUSSIAN MIXTURE MODELS; MIXTURE COMPONENTS; NON-PARAMETRIC BAYESIAN; NONPARAMETRIC BAYESIAN METHODS; PARAMETRIC APPROACH; SOURCE COUNTING;

AUDIO SIGNAL PROCESSING;

EID: 84946038022     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178011     Document Type: Conference Paper

References (10)

1. C. M. Bishop, Pattern recognition and machine learning, Springer, New York, 2006.
2. J. Taghia, N. Mohammadiha, and A. Leijon, "A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources, " in Proc. ICASSP, 2012, pp. 253-256.
3. S. Araki, T. Nakatani, H. Sawada, and S. Makino, "Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior, " in Proc. ICASSP, 2009, pp. 33-36.
4. L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, "Source counting in speech mixtures using a variational EM approach for complex Watson mixture models, " in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, May 2014, pp. 6834-6838.
5. C. E. Rasmussen, "The infinite Gaussian mixture model., " in NIPS, 1999, vol. 12, pp. 554-560.
6. M. Fujimoto, Y. Kubo, and T. Nakatani, "Unsupervised non-parametric Bayesian modeling of non-stationary noise for model-based noise suppression, " in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, May 2014, pp. 5562-5566.
7. B. Lösch, Complex Blind Source Separation with Audio Applications, Ph. D. Thesis, Stuttgart University, 2013.
8. 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 International Workshop on Acoustic Signal Enhancement (IWAENC), Juan Les Pins, France, Sept. 2014.
9. S. Makino, T.-W. Lee, and H. Sawada, Blind speech separation, Springer, 2007.
10. J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, and N. L. Dahlgren, "DARPA TIMIT acoustic phonetic continuous speech corpus CDROM, " 1993.