To improve endpoint detection system in the low signal to noise (0 dB or less) under the detection accuracy, a spectrum entropy-based endpoint detection algorithm. Each frame signal is divided into 16 sub-bands, select the frequency distribution in the 250 ~ 3. 5 kHz and the energy of not more than 90 of the total energy of the frame of the sub-band, calculated through the following sub-band speech enhancement as well as the sub-band signal to noise ratio of energy , according to the different sub-band signal to noise ratio to adjust its calculation of the spectral entropy of the process of weight, and smooth spectral entropy, spectral entropy to the final endpoint detection as the basis for

低信噪比下基于谱熵的语音端点检测算法.pdf

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