Feature generation based on maximum normalized acoustic likelihood for improved speech recognition

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

Volumn 1, Issue , 2004, Pages

  Li, Xiang ^a   Stern, Richard M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT ERROR RATE; FEATURE EXTRACTION; FUNCTIONS; ITERATIVE METHODS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; VECTORS;

KARHUNEN-LOEVE TRANSFORMATION (KLT); LINEAR DISCRIMINANT ANALYSIS (LDA); RESOURCE MANAGEMENT (RM); WORD ERROR RATES (WER);

SPEECH RECOGNITION;

EID: 4544383386     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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4. Duda, R. O, Hart, P. E., and Stork, D. G. Pattern Classification, 2nd Edition, John Wiley & Sons, Inc., 2001.
5. Li, X. and Stern, R. M. "Feature generation based on maximum classification probability for improved speech recognition", Proc. Eurospeech2003, Geneva, pp. 845-848, September, 2003.
6. Gillick, L. and Cox, S. J. "Some statistical issues in the comparison of speech recognition algorithms", Proc. ICASSP-89, Glasgow, pp. 532-535, June 1989
7. Gales, M. J. F. "Semi-tied covariance matrices for hidden markov models", IEEE Transactions on Acoustics, Speech and Signal Processing, 7(3): 272-281, 1999
8. Gales, M. J. F. "Maximum likelihood linear transformations for HMM-based speech recognition", Computer Speech and Language, 12(2): 75-98, 1998