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Speech endpoint detection in low-SNRs environment based on perception spectrogram structure boundary parameter 被引量:8
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作者 WU Di ZHAO Heming +4 位作者 HUANG Chengwei XIAO Zhongzhe ZHANG Xiaojun XU Yishen TAO Zhi 《Chinese Journal of Acoustics》 2014年第4期428-440,共13页
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... 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. 展开更多
关键词 Speech endpoint detection in low-SNRs environment based on perception spectrogram structure boundary parameter
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