Adaptive Endpoint Detection Based on Subband Speech
ZHANGWenjun, XieJianying · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2003
An adaptive endpoint detection algorithm based on band energy and adaptive smoothing algorithm is described.This algorithm utilizes the capability of adaptive smoothing algorithm that intensifies the discontinuity between local areas. The band energy features are selected because of their usefulness in detecting high energy regions (in the incoming signal) and making the distinction between speech and noise. Heuristic edge-focusing is used to endpoint detection to save the time in iteration.