Voice activity detection based on a family of parametric distributions

Authors:
Jong Won Shin;Joon-Hyuk Chang;Nam Soo Kim
Affiliations:
School of Electrical Engineering and INMC, Seoul National University, Seoul 151-742, Republic of Korea;Department of Electronic Engineering, Inha University, Incheon 402-751, Republic of Korea;School of Electrical Engineering and INMC, Seoul National University, Seoul 151-742, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2007

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Pattern Recognition Letters

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Abstract

In this letter, generalized gamma distribution (G@CD) is introduced as a new statistical model of spectral distribution to be applied to the likelihood ratio test performed in voice activity detection (VAD). A gradient-based on-line algorithm is proposed to estimate the parameters of G@CD according to the maximum likelihood criterion. Experimental results show that the VAD algorithm implemented based on G@CD outperformed those adopting other parametric distributions.