【Title】Speech endpoint detection in low-SNRs environment based on perception spectrogram structure boundary parameter (2014 No.4) 

【Author】WU Di; ZHAO Heming; HUANG Chengwei; XIAO Zhongzhe; ZHANG Xiaojun; XU Yishen; TAO Zhi 

【Abstract】The Perception Spectrogram Structure Boundary(PSSB)parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out.Then the two-dimensional enhancement is performed upon the sound spectrogram according to the difference between the determinacy distribution characteristic of speech and the random distribution characteristic of noise.Finally a decision for endpoint was made by the PSSB parameter.Experimental results show that,in a low SNR environment from-10 dB to 10 dB,the algorithm proposed in this paper may achieve higher accuracy than the extant endpoint detection algorithms.The detection accuracy of 75.2%can be reached even in the extremely low SNR at-10 dB. Therefore it is suitable for speech endpoint detection in low-SNRs environment.