Optimization of sub-band weights using simulated noisy speech in multi-band speech recognition

6th International Conference on Spoken Language Processing, ICSLP 2000

Volumn , Issue , 2000, Pages

  Tarn, Yik Cheung ^a   Mak, Brian ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COST FUNCTIONS; HIDDEN MARKOV MODELS; SIGNAL TO NOISE RATIO; SPEECH; STEREOPHONIC BROADCASTING;

DISCRIMINATIVE TRAINING; ENVIRONMENTAL NOISE; FINAL DECISION; HIDDEN MARKOV MODELING(HMM); MAXIMUM MUTUAL INFORMATION; MINIMUM CLASSIFICATION ERROR; NOISY ENVIRONMENT; OPTIMAL WEIGHT;

SPEECH RECOGNITION;

EID: 85009112933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. J. B. Allen. How Do Humans Process and Recognize Speech. IEEE Transactions on Speech and Audio Processing, 2(4):567-577, 1994.
2. H. Bourlard and S. Dupont. A New ASR Approach Based on Independent Processing and Recombination of Partial Frequency Bands. In ICSLP, October 1996.
3. C. Cerisara, J.-F. Mari J.-P. Haton, and D. Fohr. A Recombination Model for Multi-band Speech Recognition. In ICASSP, volume II, pages 717-720, May 1999.
4. Y. L. Chow. Maximum Mutual Information Estimation of HMM Parameters for Continuous Speech Recognition Using the N-Best Algorithm. In ICASSP, April 1990.
5. H. Hermansky, S. Tibrewala, and M. Pavel. Towards ASR on Partially Corrupted Speech. In ICSLP, October 1996.
6. J. Hernando. Maximum Likelihood Weighting of Dynamic Speech Features for CDHMM Speech Recognition. In ICASSP, pages 1267-1270, 1997.
7. S. Okawa, E. Bocchieri, and A. Potamianos. Multiband Speech Recognition in Noisy Environments. In ICASSP, volume II, pages 641-644, May 1998.
8. R. G. Leonard. A Database for Speaker-Independent Digit Recognition. In ICASSP, 1984.