Discriminative Weight Training for Support Vector Machine-Based Speech/Music Classification in 3GPP2 SMV Codec-Reference-Cited by-同舟云学术

Discriminative Weight Training for Support Vector Machine-Based Speech/Music Classification in 3GPP2 SMV Codec

Published:2010 Issue:1 Volume:E93-A Page:316-319
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

KIM Sang-Kyun¹,CHANG Joon-Hyuk¹

Affiliation:

1. Department of Electronic Engineering, Inha University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E93.A/1/E93.A_1_316/_pdf

Reference11 articles.

1. [1] Y. Gao, E. Shlomot, A. Benyassine, J. Thyssen, Huan-yu Su, and C. Murgia, “The SMV algorithm selected by TIA and 3GPP2 for CDMA applications, ” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol.2, pp.709-712, May 2001.

2. [2] 3GPP2 Spec., “Source-controlled variable-rate multimedia wideband speech codec (VMR-WB), service option 62 and 63 for spread spectrum systems, ” 3GPP2-C.S0052-A, vol.1.0, April 2005.

3. [3] S.K. Kim and J.-H. Chang, “Speech/music classification enhancement for 3GPP2 SMV codec based on support vector machine, ” IEICE Trans. Fundamentals, vol.E92-A, no.2, pp.630-632, Feb. 2009.

4. [4] J. Saunders, “Real-time discrimination of broadcast speech/music, ”Proc. IEEE International Conference on Acoustics, Speech, and Processing, vol.2, pp.993-996, May 1996.

5. [5] W.Q. Wang, W. Gao, and D.W. Ying, “A fast and robust speech/music discrimination approach, ” Proc. International Conference on Information, Communications and Signal Processing, vol.3, pp.1325-1329, Dec. 2003.

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