A new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch\ndivergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term\ninformation. It is more discriminative comparing with other feature sets, such as long-term spectral divergence.\nExperimental results show that among six analyzed algorithms, the proposed algorithm is the best one with the\nhighest non-speech hit rate and a reasonably high speech hit rate.
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