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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.
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. When 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. Wherefore it is suitable for speech endpoint detection in low-SNRs environment.