End Point Detection based on Auto-correlation Coefficient of Teager Energy Operator on Wavelet Domain
Weilin Zhang · Coal Technology · 2010
This paper proposes an end point detection algorithm based on calculating the auto-correlation coefficient of Teager energy on the wavelet domain.After Three layers of the speech signal wavelet decomposition,the auto-correlation coefficient of the Teager energy of the speech signal is calculated;and the average of the auto-correlation coefficient is enacted as the threshold.Compare to the simple Teager energy and the number of traditional end point detection algorithms,the auto-correlation coefficient of the Teager energy possesses good performance in distinguishing the voiced segments and unvoiced ones,and can adapt to circumstance that the speech signal has different SNR or several different types of noise.