Robust speech recognition based on noise and SNR classification - A multiple-model framework

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 977-1000

  Xu, Haitian ^a   Tan, Zheng Hua ^a   Dalsgaard, Paul ^a   Lindberg, Børge ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; INTERPOLATION; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL TO NOISE RATIO;

AURORA 2 DATABASE; JACOBIAN METHOD; MULTI-STYLE TRAINING (MTR); NOISE CLASSIFICATION;

SPEECH RECOGNITION;

EID: 33745184458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. R. P. Lippmann, E. A. Martin, and D. B. Paul. Multi-style training for robust isolated-word speech recognition. Proc. ICASSP-87, pages 705-708, 1987
2. M. Akbacak, J.H.L.Hansen. Environmental sniffing: noise knowledge estimation for robust speech systems Proceedings. (ICASSP '03). Volume 2, pages 113 -116, April 6-10, 2003
3. S.Sagayama, Y.Yamaguchi and S.Takahashi. Jacobian adaptation of noisy speech models IEEE Workshop on Automatic Speech Recognition and Understanding, 14-17, Dec. 1997, Pages 396-403
4. R. Sarikaya and J.H.L. Hansen, Improved Jacobian Adaptation for Fast Acoustic Model Adaptation in Noisy Speech Recognition, ICSLP-2000: International Conf. Spoken Language Processing, vol. 3, pp. 702-705, Beijing, China, Oct. 2000
5. ETSI draft standard doc. Speech Processing, Transmission and Quality aspects (STQ); Distributed speech recognition; Front-end feature extraction algorithm; Compression algorithms, ETSI ES 202 108 V1.1.2 (2000-04), http://pda.etsi.org/pda/queryform.asp. April 2000
6. S. Young. HTK: Hidden Markov Model Toolkit V1.5. Cambridge Univ. Eng. Dept. Speech Group and Entropic Research Lab. Inc., Washington DC, Dec. 1993.