基于谱熵的语音检测

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Abstract An approach is introduced to voice detection that differs from normal approach via energy, correlation and zerocrossing criteria. By measuring the gross shape of the short-term speech spectrum using spectral entropy to detect voice segment, it is shown that the spectral entropy can be used effectively even in heavy background noise. The simulation results show that the approach via spectral entropy has good performance for anti-noice.

Key words： Voice detection DCT transformation Spectral entropy Robustness

Received: 19 October 1999

PACS:

TN912.3

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	Wu Qihui
	Wang Jinlong

Cite this article:

Wu Qihui,Wang Jinlong. VOICE DETECTION BASED ON SPECTRAL ENTROPY[J]. , 2001, 23(10): 989-993 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2001/V23/I10/989