HYBRID NEURAL NETWORK/HIDDEN MARKOV MODEL CONTINUOUS-SPEECH RECOGNITION

2nd International Conference on Spoken Language Processing, ICSLP 1992

Volumn , Issue , 1992, Pages 915-918

  Cohen, Michael ^a   Franco, Horacio ^a   Morgan, Nelson ^b   Rumelhart, David ^c   Abrash, Victor ^a  

^a SRI INTERNATIONAL   (United States)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; SPEECH RECOGNITION;

DEPENDENT OBSERVATIONS; HIDDEN-MARKOV MODELS; HYBRID MULTILAYERS; HYBRID NEURAL NETWORKS; MULTILAYERS PERCEPTRONS; PERCEPTRON ARCHITECTURE; SPEAKER INDEPENDENTS; SPEECH RECOGNITION SYSTEMS; STATE-DEPENDENT; TRAINING PROCEDURES;

LINGUISTICS;

EID: 30244444358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. N. Morgan and H. Bourlard, "Continuous Speech Recognition Using Multilayer Perceptrons with Hidden Markov Models," ICASSP 90, pp. 413-416, Alburquerque, New Mexico, 1990.
2. V. Abrash, H. Franco, M. Cohen, N. Morgan, and Y. Konig, "Connectionist Gender Adaptation in a Hybrid Neural Network/Hidden Markov Model Speech Recognition System," this volume.
3. Y. Konig, N. Morgan, and C. Chandra, "GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition," International Computer Science Institute Technical Report TR-91-071, December 1991.
4. H. Murveit, M. Cohen, P. Price, G. Baldwin, M. Weintraub, and J. Bernstein, "SRTs DECIPHER System," DARPA Speech and Natural Language Workshop, February 1989.
5. S. E. Levinson, L. R. Rabiner, and M.M. Sondhi, "An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition," Bell Syst. Tech. Journal 62, 1035-1074, 1983.
6. F. Jelinek and R. L. Mercer, "Interpolated estimation of markov source parameters from sparse data," in Pattern Recognition in Practice, E. S. Gelsema and L. N Kanal, Eds. Amsterdam: North-Holland, 1980, pp. 381-397.
7. M. Cohen, "Phonological Structures for Speech Recognition," PhD thesis, Computer Science Department, UC Berkeley, April 1989.
8. D. Rumelhart, G. Hinton, and R. Williams, "Learning Internal Representations by Error Propagation," in Parallel Distributed Processing: Explorations of the Microstructure of Cognition, vol 1: Foundations, Ed D Rumelhart & J. McClelland. MIT Press, 1986.
9. S. Renals, N. Morgan, M. Cohen, H. Franco, "Connectionist Probability Estimation in the DECIPHER Speech Recognition System," ICASSP 92, Vol. 1, pp. 601-604, San Francisco, 1992.
10. R. M. Schwartz, Y. L. Chow, O. A. Kimball, S. Roucos, M. Krasner, and J. Makhoul, "Context-dependent modeling for acoustic-phonetic recognition of continuous speech," ICASSP 85, 1205-1208, 1985.
11. H. Bourlard, N. Morgan, C. Wooters, S Renals, "CDNN: A Context Dependent Neural Network for Continuous Speech Recognition," ICASSP 92, Vol. 2, pp. 349-352, San Francisco, 1992.
12. H. Franco, M. Cohen, N. Morgan, D. Rumelhart, V. Abrash, "Context-Dependent Connectionist Probability Estimation in a Hybrid HNN-Neural Net Speech Recognition System," in press, IJCNN, Beijing, 1992.
13. M. Cohen, H. Franco, N. Morgan, D. Rumelhart, V. Abrash, "Multiple-State Context-Dependent Phonetic Modeling with MLPs," Proceedings Speech Research Symposium XII, Rutgers, 1992.