Sequential noise compensation by sequential monte carlo method

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Yao, Kaisheng ^a   Nakamura, Satoshi ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION; EXPERIMENTS; MONTE CARLO METHODS; SPEECH RECOGNITION;

METROPOLIS-HASTINGS; MINIMUM MEAN SQUARE ERRORS (MMSE); NOISE COMPENSATION; NONSTATIONARY NOISE; PRIOR DISTRIBUTION; RESIDUAL RESAMPLING; ROBUST SPEECH RECOGNITION; SEQUENTIAL MONTE CARLO METHODS;

PARAMETER ESTIMATION;

EID: 84898993440     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. K. Yao, K. K. Paliwal, and S. Nakamura, "Sequential noise compensation by a sequential kullback proximal algorithm, " in EUROSPEECH, 2001, pp. 1139-1142, extended paper submitted for publication.
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5. B. Frey, L. Deng, A. Acero, and T. Kristjansson, "Algonquin: Iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition, " in EUROSPEECH, 2001, pp. 901-904.
6. J. S. Liu and R. Chen, "Sequential monte carlo methods for dynamic systems, " J. Am. Stat. Assoc, vol. 93, pp. 1032-1044, 1998.
7. W. K. Hastings, "Monte carlo sampling methods using markov chains and their applications, " Biometrika, vol. 57, pp. 97-109, 1970.