Statistical Model-based Voice Activity Detection with Ensemble of Deep Neural Network Using Acoustic Environment Classification and Voice Activity Detection Method thereof

摘要

According to the present invention, disclosed are an apparatus and a method for detecting voice activity based on a statistical model having ensemble of a deep neural network using acoustic environment classification. The method comprises the following steps in a classification step: extracting a feature vector from a voice signal polluted by an inputted noise environment and passing each previously learned deep neural network to each voice existence probability; and applying an acoustic environmental recognition technique to determine the final voice existence probability in order to the voice existence problem estimated through each learned deep neural network, and classifying the inputted voice signal into a voice or non-voice section.