Speech/music segmentation using entropy and dynamism features in a HMM classification framework-Reference-Cited by-同舟云学术

Speech/music segmentation using entropy and dynamism features in a HMM classification framework

Published:2003-05 Issue:3 Volume:40 Page:351-363
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Ajmera Jitendra,McCowan Iain,Bourlard Hervé

Publisher

Elsevier BV

Subject

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

Reference12 articles.

1. Ajmera, J., McCowan, I., Bourlard, H., 2002. Robust HMM based speech/music segmentation, IEEE Internat. Conf. Acoust., Speech, Signal Process., pp. 297–300

2. Bernardis, G., Bourlard, H., 1998. Improving posterior based confidence measures in hybrid hmm/ann speech recognition systems, Internat. Conf. Spoken Language Process., Vol. 3, pp. 775–778

3. Carey, M.J., Parris, E.S., Lloyd-Thomas, H., 1999. A comparison of features for speech, music discrimination, IEEE Internat. Conf. Acoust., Speech, Signal Process

4. Speaker, environment and channel change detection and clustering via the bayesian information criterion;Chen;IBM Tech. J,1998

5. El-Maleh, K., Klein, M., Petrucci, G., Kabal, P., 2000. Speech/music discrimination for multimedia application, IEEE Internat. Conf. Acoust., Speech, Signal Process., pp. 2445–2448

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