Teager Energy Operator and Empirical Mode Decomposition Based Voice Activity Detection Method

SHEN Xizhong; ZHENG Xiaoxiu

doi:10.11999/JEIT171014

Volume 40 Issue 7

Jul. 2018

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SHEN Xizhong, ZHENG Xiaoxiu. Teager Energy Operator and Empirical Mode Decomposition Based Voice Activity Detection Method[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1612-1618. doi: 10.11999/JEIT171014

Citation:

SHEN Xizhong, ZHENG Xiaoxiu. Teager Energy Operator and Empirical Mode Decomposition Based Voice Activity Detection Method[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1612-1618. doi: 10.11999/JEIT171014

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Teager Energy Operator and Empirical Mode Decomposition Based Voice Activity Detection Method

doi: 10.11999/JEIT171014

SHEN Xizhong ZHENG Xiaoxiu

Funds:

Foundation of Shanghai Science and Technology Commission of Shanghai Municipality (15ZR1440700)

Received Date: 2017-10-30
Rev Recd Date: 2018-04-11
Publish Date: 2018-07-19

Abstract

Abstract

In recent years, Teager energy operator is proposed as a kind of nonlinear method characterized with tracking a time-varying signal. The operator is combined with empirical mode decomposition, and a new method of voice activity detection is proposed to find the best voice start point and end point. Empirical Mode Decomposition (EMD) is further exploited and some valid choice conditions are constructed to choose the valid intrinsic mode functions. Thus, the method is able to deal with the voice with noise. Also, the character of the single mode of empirical mode decomposition meets the demand of single frequency component required by Teager Energy Operator (TEO). At last, Hilbert transform is added to solve the inherent problem of the mode mixing due to empirical mode decomposition. Based on the above consideration, the proposed method can identify the unvoiced sound with noise, which is better than the direct TEO and double threshold method. Experiments show the validity of the proposed method.
- Voice Activity Detection (VAD)、Teager Energy Operator (TEO)、Empirical Mode Decomposition (EMD)、Intrinsic Mode Function (IMF)、Hilbert transform,

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References(18)

References

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