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http://dx.doi.org/10.7776/ASK.2015.34.4.310

A Parametric Voice Activity Detection Based on the SPD-TE for Nonstationary Noises  

Koo, Boneung (Department of Electronic Engineering, Kyonggi University)
Publication Information
The Journal of the Acoustical Society of Korea / v.34, no.4, 2015 , pp. 310-315 More about this Journal
Abstract
A single channel VAD (Voice Activity Detection) algorithm for nonstationary noise environment is proposed in this paper. Threshold values of the feature parameter for VAD decision are updated adaptively based on estimates of means and standard deviations of past non-speech frames. The feature parameter, SPD-TE (Spectral Power Difference-Teager Energy), is obtained by applying the Teager energy to the WPD (Wavelet Packet Decomposition) coefficients. It was reported previously that the SPD-TE is robust to noise as a feature for VAD. Experimental results by using TIMIT speech and NOISEX-92 noise databases show that decision accuracy of the proposed algorithm is comparable to several typical VAD algorithms including standards for SNR values ranging from 10 to -10 dB.
Keywords
Voice activity detection; Speech pause detection; Nonstationary noise; Noise-robustness; Single channel;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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