A MINIMAX SEARCH ALGORITHM FOR CDHMM BASED ROBUST CONTINUOUS SPEECH RECOGNITION

5th International Conference on Spoken Language Processing, ICSLP 1998

Volumn , Issue , 1998, Pages

  Jiang, Hui ^a   Eirose, Keikichi ^a   Huo, Qiang ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; SPEECH RECOGNITION; TRELLIS CODES; WHITE NOISE;

CONTINUOUS DENSITY HIDDEN MARKOV MODELS; DECISION RULES; INTRINSIC NATURE; MINIMAX; MODEL-BASED OPC; ROBUST SPEECH RECOGNITION; SEARCH ALGORITHMS; SEARCH PROCEDURES; TRAINING AND TESTING; VITERBI SEARCH;

LEARNING ALGORITHMS;

EID: 33646905639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Q. Huo and C.-H. Lee, "A Bayesian predictive classification approach to robust speech recognition," submitted to IEEE Trans. on SAP, August 1997.
2. H. Jiang, A Study on Robust Decision Rules in Automatic Speech Recognition, Ph.D. thesis, the University of Tokyo, June 1998. (available at http://www.gavo.t.u-tokyo.ac.jp/~jiang/jiang.html)
3. C.-H. Lee, "On feature and model compensation approach to robust speech recognition," Proc. ESCANATO Tutorial and Research Workshop on Robust Speech Recognition For Unknown Communication Channels (Pont-a-Mousson, France), pp.45-54, April 1997.
4. N. Merhav and C.-H. Lee, "A minimax classification approach with application to robust speech recognition," IEEE Trans. on Speech and Audio Processing, Vol. 1, No. 1, pp.90-100, Jan. 1993.