Dynamical Energy-Based Speech/Silence Detector for Speech Enhancement Applications
Kirill Sakhnov, Ekaterina Verteletskaya, Boris Šimák · 2009
Abstract—This paper presents an alternative energy-based algorithm to provide speech/silence classification. The algorithm is capable to track non-stationary signals and dynamically calculate instantaneous value for threshold using adaptive scaling parameter. It is based on the observation of a noise power estimation used for computation of the threshold can be obtained using minimum and maximum values of a short-term energy estimate. The paper presents this novel voice activity detection algorithm, its performance, its limitations, and some other techniques which deal with energy estimation as well. Index Terms—Speech analysis, speech/silence classification, voice activity detection.