Spectrum energy based voice activity detection

Abstract

In this paper, a new voice activity detection method is proposed. It is based on the total spectrum energy in the overlapping speech window frames. The noise energy from the higher frequency band is subtracted from the noisy speech spectrum in the lower frequency band. In addition, a moving average filter is used to smooth the speech spectrum energy waveform. The proposed strategy for voice activity detection is robust and works well for a variety of signal to noise ratio levels.