Adaptively reserved likelihood ratio-based robust voice activity detection with sub-band double features

被引：0
作者：
He W. [1 ]
He Q. [1 ]
Wu J. [1 ]
Yang J. [1 ]
机构：
[1] School of Electronic and Information Engineering, South China University of Technology, Guangzhou
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2016年 / 38卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Likelihood ratio; Low signal noise ratio; Sub-band zero crossing rate; Voice Activity Detection (VAD);
D O I：
10.11999/JEIT160157
中图分类号：
学科分类号：
摘要：
In order to improve the correct rate of Voice Activity Detection (VAD) in low Signal Noise Ratio (SNR) environment, the paper presents an adaptive reserved likelihood ratio VAD method, which is based on sub-band double features. The method employs sub-band auto correlate function and sub-band zero crossing rate in the process of setting reserved weight. Reserved threshold is estimated adaptively according to the passed VAD results and their sub-band feature parameters. The experiment shows its promising performance in comparison with similar algorithms, the VAD correct rate is improved by 1.2%, 7.2%, and 8.1% respectively in 10 dB, 0 dB, and -10 dB stationary white noisy environment, 1.6% and 3.4% respectively in 10 dB and 0 dB non-stationary Babble noisy environment. The method is also applied to 2.4 kbps low bit rate vocoder and the Perceptual Evaluation of Speech Quality (PESQ) is improved by 0.098~0.153 in white noisy environment, 0.157~0.186 in Babble noisy environment. © 2016, Science Press. All right reserved.
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收藏
页码：2879 / 2886
页数：7
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