A New Voice and Noise Activity Detection Algorithm and Its Applicationto Dual Microphone Noise Suppression System for Handset

ZHANG Luofei; ZHANG Ming; LI Chen

doi:10.11999/JEIT151302

Volume 38 Issue 8

Sep. 2016

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ZHANG Luofei, ZHANG Ming, LI Chen. A New Voice and Noise Activity Detection Algorithm and Its Applicationto Dual Microphone Noise Suppression System for Handset[J]. Journal of Electronics & Information Technology, 2016, 38(8): 2020-2026. doi: 10.11999/JEIT151302

Citation:

ZHANG Luofei, ZHANG Ming, LI Chen. A New Voice and Noise Activity Detection Algorithm and Its Applicationto Dual Microphone Noise Suppression System for Handset[J]. Journal of Electronics & Information Technology, 2016, 38(8): 2020-2026. doi: 10.11999/JEIT151302

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A New Voice and Noise Activity Detection Algorithm and Its Applicationto Dual Microphone Noise Suppression System for Handset

doi: 10.11999/JEIT151302

Funds:

Program of Natural Science Research of Jiangsu Higher Education Institutions of China, Program of Science and Technology of Jiangsu (BE2014139)

Received Date: 2015-11-23
Rev Recd Date: 2016-04-12
Publish Date: 2016-08-19

Abstract

Abstract

Existing dual microphone Voice Activity Detection (VAD) algorithms use normally a fixed threshold. The fixed threshold can not provide an accurate VAD under various noise environments. In such case, it causes voice quality degradation, particularly in handset applications. This paper proposes a new VAD algorithm based on Neural Network (NN). Both sub-band power level difference and inter-microphone cross correlation are used as features. Then the NN based VAD is combined with the method of inter-microphone signal power ratio to get a new voice and noise activity detection algorithm. Furthermore, the algorithm is used into noise suppression in handset to avoid performance degradation caused by VAD misjudgment. Experimental results show that the proposed method provides better noise suppression performance and lower speech distortion compared to the existing method.
- Voice Activity Detection (VAD),
- Speech enhancement,
- Neural Network (NN)

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References(17)

References

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