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http://dx.doi.org/10.7776/ASK.2008.27.8.443

Voice Activity Detection Based on Discriminative Weight Training with Feedback  

Kang, Sang-Ick (인하대학교 전자공학부)
Chang, Joon-Hyuk (인하대학교 전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.27, no.8, 2008 , pp. 443-449 More about this Journal
Abstract
One of the key issues in practical speech processing is to achieve robust Voice Activity Deteciton (VAD) against the background noise. Most of the statistical model-based approaches have tried to employ equally weighted likelihood ratios (LRs), which, however, deviates from the real observation. Furthermore voice activities in the adjacent frames have strong correlation. In other words, the current frame is highly correlated with previous frame. In this paper, we propose the effective VAD approach based on a minimum classification error (MCE) method which is different from the previous works in that different weights are assigned to both the likelihood ratio on the current frame and the decision statistics of the previous frame.
Keywords
Voice activity detection; minimum classification error; Statistical model; Likelihood ratio;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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