Fully Bayesian inference of multi-mixture Gaussian model and its evaluation using speaker clustering

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

Volumn , Issue , 2012, Pages 5253-5256

  Tawara, Naohiro ^a   Ogawa, Tetsuji ^b   Watanabe, Shinji ^c   Kobayashi, Tetsunori ^a  

^a WASEDA UNIVERSITY   (Japan)

^b WASEDA UNIVERSITY   (Japan)

^c Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

Gibbs sampling; multi scale Gaussian mixture model; Speaker clustering; variational Bayesian method

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN MODEL; CLUSTERING ACCURACY; COMPUTATIONALLY EFFICIENT; GAUSSIAN MIXTURE MODEL; GAUSSIAN MODEL; GIBBS SAMPLING; ITS EVALUATION; LARGE SCALE DATA; MARKOV CHAIN MONTE CARLO; MULTISCALES; OPTIMIZATION METHOD; SPEAKER CLUSTERING; VARIATIONAL BAYESIAN;

INFERENCE ENGINES; SIGNAL PROCESSING; SPEECH PROCESSING;

BAYESIAN NETWORKS;

EID: 84867626020     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6289105     Document Type: Conference Paper

References (5)

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4. F. Valente and C. Wellekens, "Variational Bayesian speaker clustering," Proc. ODYSSEY, The Speaker and Language Recognition Workshop, May 2004.
5. N. Tawara et al., "Speaker clustering based on utterance-oriented Dirichlet process mixture model," Proc. Interspeech, pp.2905-2908, Aug. 2011.