Statistical adaptation of acoustic models to noise conditions for robust speech recognition

7th International Conference on Spoken Language Processing, ICSLP 2002

Volumn , Issue , 2002, Pages 1437-1440

  De La Torre, Ángel ^a   Fohr, Dominique ^b   Haton, Jean Paul ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b LORIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE;

ACOUSTIC MODEL; AUTOMATIC SPEECH RECOGNITION SYSTEM; NOISE CONDITIONS; NOISE EFFECTS; NOISY ENVIRONMENT; ROBUST METHODS; ROBUST SPEECH RECOGNITION; STATISTICAL FORMULATION;

SPEECH RECOGNITION;

EID: 85009285481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Y. Gong. Speech recognition in noisy environments: A survey. Speech Communication, 16(3):261-291, 1995.
2. J. C. Junqua and J. P. Haton. Robustness in automatic speech recognition. Kluwer Academic Publishers, 1996.
3. Jerome R. Bellegarda. Statistical techniques for robust ASR: review and perspectives. Proc. of EuroSpeech-97, pages KN 33-36, 1997.
4. A. de la Torre, D. Fohr and J. P. Haton. Compensation of noise effects for robust speech recognition in car environments. Proc. of ICSLP 2000, Oct. 2000.
5. A. de la Torre, D. Fohr and J. P. Haton. On the comparison of frontends for robust speech recognition in car environments. ISCA ITR-Workshop on Adaptation Methods for Speech Recognition, pages 109-112, Aug. 2001.
6. P. J. Moreno, B. Raj, and R. M. Stern. Data-driven environmental compensation for speech recognition: an unified approach. Speech Communication, 24(4):267-288, July 1998.
7. R. M. Stern, B. Raj, and P. J. Moreno. Compensation for environmental degradation in automatic speech recognition. ESCA-NATO Tutorial and Research Workshop on Robust Speech Recognition for Unknown Communication Channels, pages 33-42, April 1997.
8. N. S. Kim, D. Y. Kim, B. G. Kong, and S. R. Kim. Application of VT-S to environment compensation with noise statistics. ESCA-NATO Tutorial and Research Workshop on Robust Speech Recognition for Unknown Communication Channels, pages 99-102, April 1997.
9. S. Furui. Speaker-independent isolated word recognition using dynamic features of speech spectrum. IEEE Trans. on ASSP, 34:52-59, February 1986.
10. C. R. Jankowski, Jr. Hoang-Doan, and R. P. Lippmann. A comparison of signal processing front ends for automatic word recognition. IEEE Trans. on Speech and Audio Processing, 3(4):286-293, July 1995.
11. M. J. F. Gales. Predictive model-based compensation schemes for robust speech recognition. Speech Communication, 25(1-3):49-74, 1998.
12. D. Fohr, O. Mella, and C. Antoine. The automatic recognition engine ESPERE: experiments on telephone speech. Proc. of ICSLP 2000, Oct. 2000.