Assessing the importance of the segmentation probability in segment-based speech recognition-Reference-Cited by-同舟云学术

Assessing the importance of the segmentation probability in segment-based speech recognition

Published:1998-04 Issue:1 Volume:24 Page:51-72
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Verhasselt J.,Illina I.,Martens J.-P.,Gong Y.,Haton J.-P.

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. Afify, M., Gong, Y., Haton, J.-P., 1995. Stochastic trajectory model for speech recognition: an extension to modeling time correlation. In: Proc. Eurospeech, Vol. 1, pp. 515–518.

2. Austin, S., Zavaliagkos, G., Makhoul, J., Schwartz, R., 1992. Speech recognition using segmental neural nets. In: Proc. Internat. Conf. Acoust. Speech Signal Process., Vol. 1, pp. 625–628.

3. Bourlard, H., Morgan, N., 1994. Connectionist Speech Recognition: A Hybrid Approach. Kluwer Academic Publishers, Dordrecht.

4. Cerisara, C., Gong, Y., Haton, J.-P., 1996. Reconnaissance de la parole continue par le modèle STM polynômial. Actes des 21-èmes Journées d'Études sur la Parole, pp. 317–320.

5. Chang, J., Glass, J., 1997. Segmentation and modeling in segment-based recognition. In: Proc. Eurospeech, Vol. 3, pp. 1199–1202.

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