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Voice activity detection method in communication-terminal double-microphone denoising system and apparatus thereof

The invention discloses a voice activity detection method in a communication-terminal double-microphone denoising system and an apparatus thereof. The method is characterized by firstly, training a neural network: selecting a training sample, extracting a characteristic and acquiring a corresponding voice activity detection result; using the characteristic and the corresponding detection result to train the neural network; secondly, based on the trained neural network, carrying out voice activity detection: using primary and secondary microphones of a communication terminal respectively to collect voice signals with noises to be detected; extracting a characteristic from the collected voice signals with noises, sending the characteristic to the trained neural network and using the neural network to output a voice activity detection result. The characteristic comprises that a sub-band mutual channel energy difference is related to a normalized mutual channel. According to different noise environments, a parameter is adaptively adjusted and the voice activity detection is performed. A problem that an existing voice activity detection method can not adapt to changes of a noise environment so that performance is decreased is solved. Voice activity detection accuracy under a complex noise environment is increased.
Owner:NANJING NORMAL UNIVERSITY
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