Bayesian modelling of the speech spectrum using mixture of Gaussians

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

Volumn 1, Issue , 2004, Pages

  Zolfaghari, Parham ^a   Watanabe, Shinji ^a   Nakamura, Atsushi ^a   Katagiri, Shigeru ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FOURIER TRANSFORMS; FREQUENCIES; FUNCTIONS; ITERATIVE METHODS; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS;

BAYESIAN MODELLING; MEAN OPINION SCORES (MOS); MIXTURE OF GAUSSIANS (MOG); SPEECH SPECTRUM;

SPEECH ANALYSIS;

EID: 4544260276     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. KAWAHARA, H. Speech representation and transformation using adaptive interpolation of weighted spectrum: Vocoder revisited. In Proc. ICASSP (Munich, April 1997), vol. 2, pp. 1303-1306.
3. SOMERVUO, P. Speech modeling using variational Bayesian mixture of gaussians. In Proceedings of the International Conference on Spoken Language Processing (Denver, USA, Sept. 2002), pp. 1245-1248.
4. WATERHOUSE, S., MACKAY, D., AND ROBINSON, T. Bayesian methods for mixture of experts. In Advances in Neural Information Processing Systems 8 (1995), MIT Press.
5. ZOLFAGHARI, P. Sinusoidal Model Based Segmental Speech Coding. PhD thesis, Cambridge University, 1998.
6. ZOLFAGHARI, P., AND ROBINSON, A. Formant analysis using mixtures of Gaussians. In Proceedings of the International Conference on Spoken Language Processing (Philadelphia, USA, Oct 1996), vol. 2, pp. 1229-1232.