Supervised and Unsupervised Speaker Adaptation in Large Vocabulary Continuous Speech Recognition of Czech-Reference-Cited by-同舟云学术

Supervised and Unsupervised Speaker Adaptation in Large Vocabulary Continuous Speech Recognition of Czech

Published:2005 Issue: Volume: Page:203-210
ISSN:0302-9743
Container-title:Text, Speech and Dialogue
language:
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Author:

Cerva Petr,Nouza Jan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11551874_26.pdf

Reference9 articles.

1. Woodland, P.C.: Speaker Adaptation: Techniques and Challenges. In: Proc. IEEE Workshop on Automatic Speech Recognition and Understanding, Keystone (1999)

2. Gauvain, J.L., Lee, C.H.: Maximum A Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains. IEEE Trans. SAP 2, 291–298 (1994)

3. Leggetter, C.J., Woodland, P.C.: Flexible Speaker Adaptation Using Maximum Likelihood Linear Regression. In: Proc. ARPA Spoken Language Technology Workshop, pp. 104–109. Morgan Kaufmann, San Francisco (1995)

4. Nouza, J., Nejedlova, D., Zdansky, J., Kolorenc, J.: Very Large Vocabulary Speech Recognition System for Automatic Transcription of Czech Broadcast Programs. In: Proc. of Int. Conference on Spoken Language Processing (ISCLP 2004), Jeju (October 2004)

5. Huang, X.D., Acero, A., Hon, H.W.: Spoken Language Processing. Prentice-Hall, Englewood Cliffs (2001)

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