Voice activity detection using source separation techniques
Nikos Doukas, Patrick A. Naylor, Tania Stathaki · 1997
A novel Voice Activity Detector is presented that is based on Source Separation techniques applied to single sensor signals. It offers very accurate estimation of the endpoints in very low Signal to Noise ratio conditions, while maintaining low complexity. Since the procedure is totally iterative, it is suitable for use in real-time applications and is capable of operating in dynamically adapting situations. Results are presented for both White Gaussian and Car Engine background noise. The performance of the new technique is compared with that of the GSM Voice Activity Detector. 1. Introduction Voice Activity Detection (VAD) is important in many areas of speech processing technology, such as noise reduction, voice recognition, speech coding etc, and has been extensively studied ([7], [5], [1]). Most of the existing techniques focus on relatively mild noise conditions (small positive SNR, for example the conditions found in an office environment). The work presented in this paper focus...