An Improved VAD Algorithm Employing Speech Enhancement Preprocessing and Threshold Updating 


Vol. 28,  No. 11, pp. 1161-1168, Nov.  2003


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  Abstract

In this paper. we propose an improved statistical model-based voice activity detection algorithm and threshold update method. We first improve signal-to-noise ratio by using speech enhancement preprocessing algorithm combined power subtraction method and matched filter, then apply it to LLR test optimum decision rule for improving the performance even in low SNR conditions. And we propose an adaptive threshold update method that was not concerned in any papers. We also perform extensive computer simulations to demonstrate the performance improvement of the proposed VAD algorithm employing the proposed speech enhancement preprocessing algorithm and adaptive threshold update method under various background noise environments. Finally we verify our results by comparing ITU-T G.729 Annex B.

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  Cite this article

[IEEE Style]

Y. Lee and S. Ahn, "An Improved VAD Algorithm Employing Speech Enhancement Preprocessing and Threshold Updating," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 11, pp. 1161-1168, 2003. DOI: .

[ACM Style]

Yoon-Chang Lee and Sang-Sik Ahn. 2003. An Improved VAD Algorithm Employing Speech Enhancement Preprocessing and Threshold Updating. The Journal of Korean Institute of Communications and Information Sciences, 28, 11, (2003), 1161-1168. DOI: .

[KICS Style]

Yoon-Chang Lee and Sang-Sik Ahn, "An Improved VAD Algorithm Employing Speech Enhancement Preprocessing and Threshold Updating," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 11, pp. 1161-1168, 11. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880