Voice activity detection based on conditional MAP criterion incorporating the spectral gradient

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• 作者：Sang-Kyun Kim ; Joon-Hyuk Chang ; ^{jchang@hanyang.ac.kr}
• 关键词：Voice activity detection ; Spectral gradient ; Conditional MAP ; Likelihood ratio test
• 刊名：Signal Processing
• 出版年：2012
• 出版时间：July 2012
• 年：2012
• 卷：92
• 期：7
• 页码：1699-1705
• 全文大小：302 K

文摘

In this paper, we propose a novel approach to improve a statistical model-based voice activity detection (VAD) method based on a modified conditional maximum a posteriori (MAP) criterion incorporating the spectral gradient scheme. The proposed conditional MAP incorporates not only the voice activity decision in the previous frame as in but also the spectral gradient of the observed spectra between the current frame and the past frames to efficiently exploit the inter-frame correlation of voice activity. As a result, the proposed VAD leads to six separate thresholds to be adaptively determined in the likelihood ratio test (LRT) depending on both the previous VAD result and the estimated spectral gradient parameter. Experimental results demonstrate that the proposed approach yields better results compared to those of the previous conditional MAP-based method.