An Overview of Automatic Speech Recognition-Reference-Cited by-同舟云学术

An Overview of Automatic Speech Recognition

Published:1996 Issue: Volume: Page:1-30
ISSN:0893-3405
Container-title:The Kluwer International Series in Engineering and Computer Science
language:
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Author:

Rabiner L. R.,Juang B.-H.,Lee C.-H.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4613-1367-0_1.pdf

Reference85 articles.

1. A. Acero and R. Stern, “Environmental Robustness in Automatic Speech Recognition”, Proc. ICASSP-90, pp. 849–852, 1990.

2. B. S. Atal, “Efficient Coding of LPC Parameters by Temporal Decomposition,” Proc. ICASSP-83, Boston, pp. 81–84, 1983.

3. L. R. Bahl, F. Jelinek and R. L. Mercer, “A Maximum Likelihood Approach to Continuous Speech Recognition,” IEEE Trans. Pattern Analysis, Machine Intelligence, Vol. 5, pp. 179–190, 1983.

4. L. R. Bahl, P. F. Brown, P. V. de Souza and R. L. Mercer, “Maximum Mutual Information Estimation of Hidden Markov Model Parameters for Speech Recognition,” Proc. ICASSP-86, Tokyo, pp. 49–52, 1986.

5. L. R. Bahl, P. F. Brown, P. V. de Souza and R. L. Mercer, “Tree-Based Language Model for Natural Language Speech Recognition,” IEEE Trans. Acons., Speech, Signal Proc, Vol. 37, pp. 1001–1008, 1989.

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