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http://dx.doi.org/10.7776/ASK.2011.30.6.324

A Statistical Model-Based Voice Activity Detection Employing the Conditional MAP Criterion with Spectral Deviation  

Kim, Sang-Kyun (한양대학교 융합전자공학부)
Chang, Joon-Hyuk (한양대학교 융합전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.30, no.6, 2011 , pp. 324-329 More about this Journal
Abstract
In this paper, we propose a novel approach to improve the performance of a statistical model-based voice activity detection (VAD) which is based on the conditional maximum a posteriori (CMAP) with deviation. In our approach, the VAD decision rule is expressed as the geometric mean of likelihood ratios (LRs) based on adapted threshold according to the speech presence probability conditioned on both the speech activity decisions and spectral deviation in the pervious frame. Experimental results show that the proposed approach yields better results compared to the CMAP-based VAD using the LR test.
Keywords
Voice activity detection; Deviation; Conditional maximum a posteriori; Statistical model;
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