8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

A Uniformly Most Powerful Test for Statistical Model-Based Voice Activity Detection

Keun Won Jang (1), Dong Kook Kim (1), Joon-Hyuk Chang (2)

(1) Chonnam National University, Korea
(2) Inha University, Korea

This paper presents a new voice activity detection (VAD) method using the Gaussian distribution and a uniformly most powerful (UMP) test. The UMP test is employed to derive the new decision rule based on likelihood ratio test (LRT). This method requires the Rayleigh distribution for the magnitude of the noisy spectral component and the adaptive threshold estimated from the noise statistics. Experimental results show that the proposed VAD algorithm based on UMP test outperforms the conventional scheme.

Full Paper

Bibliographic reference.  Jang, Keun Won / Kim, Dong Kook / Chang, Joon-Hyuk (2007): "A uniformly most powerful test for statistical model-based voice activity detection", In INTERSPEECH-2007, 2917-2920.