The SPHINX speech recognition system
作者： K.-F. Lee , H.-W. Hon , M.-Y. Hwang , S. Mahajan , R. Reddy
DOI: 10.1109/ICASSP.1989.266459
关键词:
摘要: A description is given of SPHINX an accurate large-vocabulary speaker-independent continuous speech recognition system. The authors have made several recent enhancements, including generalized triphone models, word duration modeling, function-phrase between-word coarticulation and corrective training. On the 997-word resource management task, attained a accuracy 96% with grammar (perplexity 60), 82% without 997). >
sci-hub.se 参考文章(4)
R. Schwartz, Y. Chow, O. Kimball, S. Roucos, M. Krasner, J. Makhoul, Context-dependent modeling for acoustic-phonetic recognition of continuous speech international conference on acoustics, speech, and signal processing. ,vol. 10, pp. 1205- 1208 ,(1985) , 10.1109/ICASSP.1985.1168283
V. Gupta, M. Lennig, P. Mermelstein, Integration of acoustic information in a large vocabulary word recognizer international conference on acoustics, speech, and signal processing. ,vol. 12, pp. 697- 700 ,(1987) , 10.1109/ICASSP.1987.1169578
L.R. Bahl, P.F. Brown, P.V. de Souza, R.L. Mercer, A new algorithm for the estimation of hidden Markov model parameters international conference on acoustics speech and signal processing. pp. 493- 497 ,(1988) , 10.1109/ICASSP.1988.196627
Kai-Fu Lee, Automatic Speech Recognition Springer US. ,(1989) , 10.1007/978-1-4615-3650-5