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.
章雒霏,张铭,李晨. 一种新的语音和噪声活动检测算法及其在手机双麦克风消噪系统中的应用[J]. 电子与信息学报, 2016, 38(8): 2020-2026.
ZHANG Luofei, ZHANG Ming, LI Chen. A New Voice and Noise Activity Detection Algorithm and Its Application to Dual Microphone Noise Suppression System for Handset. JEIT, 2016, 38(8): 2020-2026.
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