Spectrum Energy Based Voice Activity Detection - 2017 PROJECT TITLE :Spectrum Energy Based Voice Activity Detection - 2017ABSTRACT:During this paper, a brand new voice activity detection technique is proposed. It's primarily based on the overall spectrum energy within the overlapping speech window frames. The noise energy from the higher frequency band is subtracted from the noisy speech spectrum within the lower frequency band. In addition, a moving average filter is employed to swish the speech spectrum energy waveform. The proposed strategy for voice activity detection is strong and works well for a variety of signal to noise ratio levels. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ber Analysis Of Regularized Least Squares For Bpsk Recovery - 2017 Overview Of Airborne Sar Data Processing Alogorithms - 2017