PROSPECT features and their application to missing data techniques for robust speech recognition

8th International Conference on Spoken Language Processing, ICSLP 2004

Volumn , Issue , 2004, Pages 101-104

  Van Hamme, Hugo ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COVARIANCE MATRIX; INVERSE PROBLEMS;

ACOUSTIC MODEL; ADVERSE ENVIRONMENT; CEPSTRAL DOMAIN; INVERSE COVARIANCE; LOSS OF ACCURACY; MISSING DATA; MISSING DATA TECHNIQUES; ROBUST SPEECH RECOGNITION;

SPEECH RECOGNITION;

EID: 85009128803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Cooke, M., Green, Ph., Josifovski, L., Vizinho, A. "Robust automatic speech recognition with missing and unreliable acoustic data". Speech Communication 34 (2001), pp. 267-285
2. Häkkinen, J. and Haverinen, H., "On the Use of Missing Feature Theory with Cepstral Features", Proc. CRAC Workshop, Aalborg, Denmark, September 2, 2001
3. Van hamme, H., "Robust Speech Recognition Using Missing Feature Theory in the Cepstral or LDA Domain," Proc. Eurospeech, Geneva, Sept. 2003, pp. 3089-3092.
4. Cerisara, C., "Towards Missing Data Recognition with Cepstral Features," Proc. Eurospeech, Geneva, Switzerland, Sept. 2003, pp. 3057-3060.
5. Stouten, V., Van hamme, H., Duchateau, J. and Wambacq, P., "Evaluation of Model-Based Feature Enhancement on the AURORA-4 Task", Proc. Eurospeech, Geneva, Switzerland, Sept. 2003, pp. 349-352.
6. Fletcher, R., Practical Methods of Optimization, John Wiley & Sons, Chichester.
7. Saul, L. K., Sha, F., and Lee, D. D., "Statistical Signal Processing with Non-negativity Constraints", Proc. Eurospeech, Geneva, Switzerland, Sept. 2003, pp. 1001-1004.