Voice activity detection based on a family of parametric distributions
نویسندگان
چکیده
In this letter, generalized gamma distribution (GCD) 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 GCD according to the maximum likelihood criterion. Experimental results show that the VAD algorithm implemented based on GCD outperformed those adopting other parametric distributions. 2007 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 28 شماره
صفحات -
تاریخ انتشار 2007