Study Of Speech Endpoint Detection Algorithm Based On The Wavelet Analysis

Speech endpoint detection is a key technology for speech recognition. It is widely used in not only military usage but also civilian usage. It is difficult to exactly detect endpoint under low SNR, especially in silence segment or before pronouncing or after pronouncing. This paper discussed several kinds of commonly used endpoint detection methods, and proposed two endpoint detection means based on the wavelet transform, and based on this integrated speech end-point detection algorithm, thereby the method of exact speech signal endpoint detection can be obtained.This paper first introduced some kinds of commonly used speech endpoint detection methods, such as short-time energy and zero-crossing rate, HMM etc. Using these methods, the result is better under silence environment, less noisy or relatively single noisy environment, but under bad, low SNR environment, the decline of the result is fast, and the result is not satisfying. So this article presented using wavelet transform as analysis tool. Next, we discussed the principle of wavelet transform and its application in speech recognition system.This paper proposed two kinds of speech endpoint detection methods based on wavelet coefficients respectively, and compared the two...