A robust training algorithm for adverse speech recognition-Reference-Cited by-同舟云学术

A robust training algorithm for adverse speech recognition

Published:2000-04 Issue:4 Volume:30 Page:273-293
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Hong Wei-Tyng,Chen Sin-Horng

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference37 articles.

1. Acero, A., Stern, R.M., 1990. Environmental robustness in automatic speech recognition. In: Proceedings of ICASSP-90, pp. 849–852

2. Acero, A., Stern, R.M., 1991. Robust speech recognition by normalization of the acoustic space. In: Proceedings of ICASSP-91, pp. 893–896

3. Anastasakos, T., McDonough, J., Makhoul, J., 1997. Speaker adaptive training: a maximum likelihood approach to speaker normalization. In: Proceedings of ICASSP-97, pp. 1043–1046

4. Discriminative analysis of distortion sequences in speech recognition;Chang;IEEE Trans. Speech and Audio Process.,1993

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Statist. Soc.,1977

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