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Phase information is ignored for almost all voice activity detection (VAD). To exploit full information in the original signal, this paper proposes a deep neural network (DNN) using magnitude and phase information (that is, phase aware DNN) to achieve better VAD performance. Mel-frequency cepstral coefficient (MFCC), power-normalized cepstral coefficients (PNCC), instantaneous frequency derivative...
There is an increasing use of sensor networks capable of sensing multimedia data including audio data. Unfortunately, public use of these is not allowed because they contain crucial privacy information such as person and location names. Person name extraction (PNE), which is a widely investigated research topic, is an effective technique to resolve this problem. However, there is an important difference...
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