Author:
Valtchev V,Odell J.J,Woodland P.C,Young S.J
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software
Reference23 articles.
1. Aubert, X., Ney, H., 1995. Large vocabulary continuous speech recognition using word graphs. In: Proc. Internat. Conf. Acoust. Speech Signal Process., Detroit, Vol. 1, pp. 49–52.
2. Bahl, L.R., Brown, P.F. de Souza, P.V., Mercer, R.L., 1986. Maximum mutual information estimation of hidden Markov model parameters for speech recognition. In: Proc. Internat. Conf. Acoust. Speech Signal Process., Tokyo, pp. 49–52.
3. Estimating hidden Markov model parameters so as to maximise speech recognition accuracy;Bahl;Trans. IEEE Speech Audio Process.,1993
4. Gopalakrishnan, P.S., Kanevsky, D., Nadas, A., Nahamoo, D., 1989. A generalisation of the Baum algorithm to rational objective functions. In: Proc. Internat. Conf. Acoust. Speech Signal Process., Glasgow, S12.9, pp. 631–634.
5. Discriminative training;Juang;J. Acoust. Soc. Japan,1992
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