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- W2364132456 abstract "Faced with the fact that traditional voice activity detection method would drop dramatically in high noise environments,an improved voice activity detection algorithm based on cross-entropy is proposed.The algorithm makes use of the sub-band cross-entropy as the speech /non-speech discrimination feature.The analyses first estimate the background noise based on the speech presence probability and then divide the speech spectrum and noise spectrum into several sub-bands.The cross-entropy is given between the speech signal and the background noise.And then the speech and non-speech signal are classified based on the cross-entropy.Tests show that the algorithm effectively distinguishes speech from non-speech,and even in high noise environments,the algorithm has a high detection rate.The algorithm is robust compared with traditional methods." @default.
- W2364132456 created "2016-06-24" @default.
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- W2364132456 date "2014-01-01" @default.
- W2364132456 modified "2023-09-28" @default.
- W2364132456 title "Improved voice activity detection algorithm based on cross-entropy" @default.
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