A deep neural network based approach to mandarin consonant/vowel separation

Abstract

In this paper, we study the problem of Mandarin consonant/vowel separation which is an integral part of many Mandarin speech applications. We propose a deep neural network (DNN) based approach and compare its performance with the support vector machine (SVM) method. Our results demonstrate an improved separation performance yielded by the proposed method, especially on consonant identification.