Voice activity detection algorithm based on long-term pitch information

A new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch divergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term information. It is more discriminative comparing with other feature sets, such...

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Bibliographic Details
Published in:EURASIP journal on audio, speech, and music processing speech, and music processing, 2016-07, Vol.2016 (1), p.1, Article 14
Main Authors: Yang, Xu-Kui, He, Liang, Qu, Dan, Zhang, Wei-Qiang
Format: Article
Language:English
Subjects:
Acoustics
Engineering
Engineering Acoustics
Mathematics in Music
Signal,Image and Speech Processing
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Summary:A new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch divergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term information. It is more discriminative comparing with other feature sets, such as long-term spectral divergence. Experimental results show that among six analyzed algorithms, the proposed algorithm is the best one with the highest non-speech hit rate and a reasonably high speech hit rate.
ISSN:1687-4722
1687-4714
1687-4722
DOI:10.1186/s13636-016-0092-y