Isolated word recognition using modular recurrent neural networks

Pattern Recognition

Volumn 31, Issue 6, 1998, Pages 751-760

  Lee, Tan ^a   Ching, P C ^a   Chan, Lai Wan ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Discriminative training; Isolated word recognition; Recurrent neural network

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; PATTERN MATCHING; RECURRENT NEURAL NETWORKS; SPEECH ANALYSIS;

DISCRIMINATIVE TRAINING; ISOLATED WORD RECOGNITION; OPTIMAL PHONETIC SEGMENTATION;

SPEECH RECOGNITION;

EID: 0032093701     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(97)00106-4     Document Type: Article

References (25)

1. J. L. Elman and D. Zipser, Learning the hidden structure of speech, J. Acoust. Soc. Am. 83(4), 1615-1626 (1987).
2. M. Niranjan and F. Fallside, Neural networks and radial basis functions in classifying static speech patterns, Comput. Speech Language 4, 275-289 (1990).
3. H. Bourlard and C. J. Wellekens, Speech pattern discrimination and multilayer perceptrons, Comput. Speech Language 3, 1-19 (1988).
4. H. Sakoe, R. Isotani, K. Yoshida, K. Iso and T. Watanabe, Speaker-independent word recognition using dynamic programming neural networks, Proc. ICASSP'89, 1, pp. 29-32 (1989).
5. E. Singer and R. P. Lippmann, Speech recognizer using radial basis function neural networks in an HMM framework, Proc. ICASSP'92, 1, pp. 629-632 (1992).
6. N. Morgan and H. A. Bourlard, Neural networks for statistical recognition of continuous speech, Proc. IEEE, vol. 83, No. 5, pp. 742-770 (1995).
7. H. A. Bourlard and C. J. Wellekens, Speech dynamics and recurrent neural networks, Proc. ICASSP'89, 1, pp. 33-36 (1989).
8. J. S. Bridle, Alpha-nets: a recurrent 'neural' network architecture with a hidden Markov model interpretation, Speech Commun. 9, 83-92 (1990).
9. A. J. Robinson, An application of recurrent nets to phone probability estimation, IEEE Trans. Neural Networks 5(2), 298-305 (1994).
10. A. Aussem, F. Murtagh and M. Sarazin, Dynamical recurrent neural networks - towards environmental time series prediction, Int. J. Neural Systems 6(2), 145-170 (1995).
11. Z. Zeng, R. M. Goodman and P. Smyth, Discrete recurrent neural networks for grammatical inference, IEEE Trans. Neural Networks 5(2), 320-330 (1994).
12. D. H. Rao, M. M. Gupta and H. C. Wood, Adaptive inverse control of nonlinear systems using dynamic neural networks, Proc. WCNN'94, vol. 2, pp. 305-310.
13. R. J. Williams and D. Zipser, A Learning algorithm for continually running fully recurrent neural networks, Neural Comput. 1, 270-290 (1989).
14. Tan Lee, Automatic recognition of isolated cantonese syllables using neural networks, Ph.D. Thesis, The Chinese University of Hong Kong (1996).
15. Tan Lee, P. C. Ching and L. W. Chan, Recurrent neural network for speech modeling and speech recognition, Proc. ICASSP '95, vol. 5, pp. 3319-3322 (1995).
16. Y. Linde, A. Buzo and R. M. Gray, An algorithm for vector quantizer design, IEEE Trans. Commun. 28, 84-95 (1980).
17. L. R. Rabiner, B. H. Juang, S. E. Levinson and M. M. Sondhi, Recognition of isolated digits using hidden Markov models with continuous mixture densities, AT&T Techn. J. 64(6), 1211-1234 (1985).
18. P. C. Chang and B. H. Juang, Discriminative training of dynamic programming based speech recognizers, IEEE Trans. Speech Audio Process. 1(2), 135-143 (1993).
19. Tan Lee, P. C. Ching and L. W. Chan, An RNN based speech recognition system with discriminative training, Proc. EUROSPEECH'95, 5, pp. 1667-1670. Madrid (1995).
20. E. L. Bocchieri and J. G. Wilpon, Discriminative feature selection for speech recognition, Comput Speech Language 7, 229-246 (1993).
21. J. S. Bridle and L. Dodd, An alpha-net approach to optimising input transformation for continuous speech recognition, Proc. ICASSP'91, 1, pp. 277-280 (1995).
22. W. Y. Chen, Y. F. Liao and S. H. Chen, Speech recognition with hierarchical recurrent neural networks, Pattern Recognition 28(6), 795-805 (1995).
23. G. D. Cook, J. D. Christie, P. R. Clarkson, M. M. Hochberg, B. T. Logan and A. J. Robinson, Real-time recognition of broadcast radio speech, Proc. ICASSP'96, 1, pp. 141-144.
24. K. Kasper, H. Reininger, D. Wolf and H. Wust, A fully connected recurrent neural network for recognition of noisy telephone speech, Proc. ICASSP'95, 5, pp. 3331-3334.
25. S. Y. Kung, Digital Neural Networks. Prentice-Hall, Englewood Cliffs, New Jersey (1993).