A feature compensation approach using high-order vector Taylor series approximation of an explicit distortion model for noisy speech recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 1257-1260

  Du, Jun ^a,b   Huo, Qiang ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Distortion model; Feature compensation; Robust speech recognition; Vector Taylor series

Indexed keywords

CLEAN SPEECH; DISTORTION MODEL; EXPLICIT MODELS; FEATURE COMPENSATION; FIRST-ORDER; HIGH-ORDER; MINIMUM MEAN-SQUARED ERROR ESTIMATIONS; NOISE MODELS; NOISY SPEECH RECOGNITION; RECOGNITION ACCURACY; ROBUST SPEECH RECOGNITION; VECTOR TAYLOR SERIES;

FEATURE EXTRACTION; MAXIMUM LIKELIHOOD ESTIMATION; MEAN SQUARE ERROR; SPEECH COMMUNICATION; TAYLOR SERIES; VECTORS;

SPEECH RECOGNITION;

EID: 84867216034     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. H. G. Hirsch and D. Pearce, "The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy conditions," Proc. ISCA ITRW ASR, 2000, pp.181-188.
2. Y. Hu and Q. Huo, "Irrelevant variability normalization based HMM training using VTS approximation of an explicit model of environmental distortions," Proc. Interspeech, 2007, pp.1042-1045.
3. N. S. Kim, "Statistical linear approximation for environment compensation," IEEE Signal Processing Letters, Vol. 5, No. 1, pp.8-10, 1998.
4. D.-Y. Kim, C.-K. Un, and N.-S. Kim, "Speech recognition in noisy environments using first-order vector Taylor series," Speech Communication, Vol. 24, pp.39-49, 1998.
5. P. J.Moreno, B. Raj, and R.M. Stern, "A vector Taylor series approach for environment-independent speech recognition," Proc. ICASSP, 1996, pp.733-736.
6. R. C. Rose, E. M. Hofstetter, and D. A. Reynolds, "Integrated models of signal and background with application to speaker identification in noise," IEEE Trans. on Speech and Audio Processing, Vol. 2, No. 2, pp.245-257, 1994.
7. V. Stouten, Robust Automatic Speech Recognition in Time-Varying Environemnts, Ph.D. thesis, Katholieke Universiteit Leuven, 2006.
8. G.-H. Ding, B. Xu, "Exploring high-performance speech recognition in noisy environments using high-order Taylor series expansion," Proc. ICSLP, 2004, pp.149-152.