Voice Activity Detection with Generalized Gamma Distribution
George Almpanidis, Constantine L. Kotropoulos · 2006
In this work, we model speech samples with the generalized Gamma distribution and evaluate the efficiency of such modelling for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian information criterion for identifying the phoneme boundaries in noisy speech