On Noise Robust Voice Activity Detection
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In this paper, we show that the performance of voice activity detection algorithms (VAD) can be highly dependent on the type of background noise and we introduce a new VAD algorithm that is based on relative energy measurements in different frequency bands. The obtained experimental results are compared to the results obtained with two other spectrumbased VADs and it is concluded that a VAD, configured to use around 3 frequency bands can cope best with a large variety of background sounds.
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