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An Improved VAD Algorithm Employing Speech Enhancement Preprocessing and Threshold Updating  

이윤창 (고려대학교 전자정보공학과 신호처리연구실)
안상식 (고려대학교 전자 및 정보공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.11C, 2003 , pp. 1161-1168 More about this Journal
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.
Keywords
Voice activity detection; Threshold update; Speech enhancement;
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  • Reference
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