Speech/Music Classification Enhancement for 3GPP2 SMV Codec Based on Support Vector Machine

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

Reference9 articles.

1. [1] 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.

2. [2] 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.

3. [3] 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.

4. [4] 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, v.1.0, April 2005.

5. [5] S.C. Greer and A. Dejaco, “Standardization of the selectable mode vocoder, ” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol.2, pp.953-956, May 2001.

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