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Statistical Model-Based Voice Activity Detection Using the Second-Order Conditional Maximum a Posteriori Criterion with Adapted Threshold  

Kim, Sang-Kyun (인하대학교 전자공학부)
Chang, Joon-Hyuk (인하대학교 전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.29, no.1, 2010 , pp. 76-81 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 second-order conditional maximum a posteriori (CMAP). 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 current observation and the speech activity decisions in the pervious two frames. Experimental results show that the proposed approach yields better results compared to the statistical model-based and the CMAP-based VAD using the LR test.
Keywords
Voice Activity Detection; Second-Order Conditional Maximum a Posteriori; Statistical Model; Likelihood Ratio;
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