Voice Activity Detection Using Generalized Exponential Kernels for Time and Frequency Domains

摘要

In this paper, we present a simple and robust voice activity detection algorithm using a generalized exponential kernel (GEVAD). Taking advantage of a non-linear metrics, kernel functions are used to classify acoustic signatures as speech and non-speech.