Model-based approach for robust speech recognition in noisy environments with multiple noise sources

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 1123-1126

  Kim, Do Yeong ^a,b   Kim, Nam Soo ^b   Un, Chong Kwan ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Samsung Advanced Institute of Technology (SAIT)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; MAXIMUM LIKELIHOOD; MAXIMUM PRINCIPLE; SPEECH COMMUNICATION; SPEECH RECOGNITION; TRELLIS CODES;

ENVIRONMENTAL VARIABLES; EXPECTATION MAXIMIZATION; HIDDEN-MARKOV MODELS; MODEL BASED APPROACH; MODELING PARAMETERS; MULTIPLE NOISE SOURCES; NOISY ENVIRONMENT; PARAMETER COMPENSATION; ROBUST SPEECH RECOGNITION; VECTOR TAYLOR SERIES APPROACH;

HIDDEN MARKOV MODELS;

EID: 84886109631     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. A. Acero, Acoustical and environmental robustness in automatic speech recognition, Kluwer academic publishers, 1993.
2. P.J.Moreno, B.Raj andR.M.Stern, “Avector Taylor series approach for environment-independent speech recognition," Proc. of Int. Conf. Acoust., Speech, Signal Processing, Atlanta, GA, pp. 733-736, May 1996.
3. B. Raj, E. B. Gouvea, P. J. Moreno and R. M. Stern, “Cepstral compensation by polynomial approximation for environment-independent speech recognition,”Proc. of Int. Conf. Spoken Language Processing, Philadelphia, PA, pp. 2340-2343, Oct. 1996.
4. N. S. Kim, D. Y. Kim, B. G. Kong and S. R. Kim, “Application of VTS to environment compensation with noise statistics,”Proc. of ESCA Workshop on Robust Speech Recognition for Unknown Communication Channels, Pont-a-Mousson, France, Apr. 1997.
5. D. Y. Kim, C. K. Un and N. S. Kim, “Speech recognition in noisy environments using first-order vector Taylor series,”Speech Communication, submitted for publication.
6. M. J. F. Gales, Model-based techniques for noise robust speech recognition, Ph.D. Thesis, Univ. of Cambridge, 1995.