A voice activity detection algorithm based on the variance of critical band power spectrum
Shuguang Wang · Shengxue jishu · 2012
As the key technology of speech signal processing,the accuracy of voice activity detection directly affects the computational complexity and identification capabilities of speech recognition system.Based on theoretical research of human auditory characteristics,this paper presents a voice activity detection algorithm which involves the variance of critical band power spectrum.By using adaptive threshold,the presented method has a good performance on the tracking of background noise.Experiments are taken at different signal to noise ratios.The results show that comparing with short time features-based algorithm and entropy based algorithm,this method can effectively reduce the influences of background noise.Furthermore,it also has better robustness and higher accuracy.