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http://dx.doi.org/10.7776/ASK.2007.26.1.016

A New Statistical Voice Activity Detector Based on UMP Test  

Jang, Keun-Won (전남대학교 전자컴퓨터 공학부)
Chang, Joon-Hyuk (인하대학교 전자전기 공학부)
Kim, Dong-Kook (전남대학교 전자컴퓨터 공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.26, no.1, 2007 , pp. 16-24 More about this Journal
Abstract
Voice activity detectors (VADs) are important in wireless communication and speech signal processing. In the conventional VAD methods. an expression for the likelihood ratio test (LRT) based on statistical models is derived. Then, speech or noise is decided by comparing the value of the expression with a threshold. We propose a new method with the modified decision rule based on the Gaussian distribution and the uniformly most power (UMP) test. This method requires the distribution of the absolute value of the incoming speech signal. Then we can obtain the final decision through the relation between the Rayleigh distributions. This VAD method can detect speech without a priori signal-to-noise ratio (SNR) which is required in the conventional VAD algorithms. Additionally, in the various VAD performance tests, the proposed VAD method is shown to be more effective than the traditional scheme.
Keywords
Voice activity detection; Gaussian distribution; UMP test; Rayleigh distribution; Likelihood ratio test; A priori SNR;
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