INTENSITY- AND LOCATION-NORMALIZED TRAINING FOR HMM-BASED VISUAL SPEECH RECOGNITION

6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Volumn , Issue , 1999, Pages 1287-1290

  Nankaku, Yoshihiko ^a   Tokuda, Keiichi ^a   Kitamura, Tadashi ^a  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LOCATION; PARAMETER ESTIMATION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

HMM-BASED; IMAGE-BASED; KEY ISSUES; LIGHTING CONDITIONS; MAXIMUM-LIKELIHOOD; MODEL TRAINING; NORMALISATION; NORMALIZATION PROCESS; TRAINING METHODS; VISUAL SPEECH RECOGNITION;

MAXIMUM LIKELIHOOD;

EID: 0010181709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. T. Anastasakos, J. McDonough and J. Makhoul, “Speaker Adaptive Training: A Maximum Likelihood Approach to Speaker Normalization,” Proc. ICASSP, pp. 1043-1046, 1997.
2. T. Anastasakos, J. McDonough, R. Schwartz and J. Makhoul, “A Compact Model for Speaker-Adaptive Training,” Proc. ICSLP, 1996.
3. D. Pye and P. C. Woodland, “Experiments in Speaker Normalisation and Adaptation for Large Vocabulary Speech Recognition,” Proc. ICASSP, pp. 1047-1050, 1997.
4. M. J. F. Gales, “Maximum Likelihood Linear Transformations for HMM-based Speech Recognition,” Computer Speech and Language, pp. 75-98, Dec, 1998.
5. O. Vanegas, A. Tanaka, K. Tokuda and T. Kitamura, “HMM-based Visual Speech Recognition using Intensity and Location Normalization,” Proc. ICSLP, pp. 289-292, 1998.
6. J. R. Movellan, “Visual Speech Recognition with Stochastic Networks,” G. Tesauro, D. Touretzky, T. Leen (eds.), Advances in Neural Information Processing Systems 7, MIT Press Cambridge, 1995.