Emotional speech recognition based on SVM with GMM supervector-Reference-Cited by-同舟云学术

Emotional speech recognition based on SVM with GMM supervector

Published:2012-07 Issue:3-4 Volume:29 Page:339-344
ISSN:0217-9822
Container-title:Journal of Electronics (China)
language:en
Short-container-title:J. Electron.(China)

Author:

Chen Yanxiang,Xie Jian

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11767-012-0871-2.pdf

Reference10 articles.

1. D. A. Reynolds. Speaker verification using adapted Gaussian mixture models. Digital Signal Processing, 10(2000)1, 19–41.

2. N. Cristianini, and J. S. Taylor. Support Vector Machines. Cambridge, Cambridge University Press, 2000, 125–126.

3. V. Wan and S. Renals. SVMSVM: support vector machine speaker verification methodology. Proceedings of International Conference on Acoustic, Speech and Signal Processing (ICASSP), Hong Kong, China, 2003, 221–224.

4. M. H. Liu, B. Q. Dai, Y. L. Xie, and Z. Q. Yao. Improved GMM-UBM/SVM for speaker verification. Proceedings of International Conference on Acoustic, Speech and Signal Processing (ICASSP), Toulouse, France, 2006, 96–99.

5. C. H. You, K. A. Lee, and H. Li. An SVM kernel with GMM-supervector based on the Bhattacharyya distance for speaker recognition. IEEE Signal Processing Letters, 16(2009)1, 49–52.

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