GMM-based Chinese Dialect identification System

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (3): 204-204.

• 工程与应用 • Previous Articles Next Articles

GMM-based Chinese Dialect identification System

Gu Mingliang1，2 Ma Yong1

Received:2006-02-07 Revised:1900-01-01 Online:2007-01-21 Published:2007-01-21

基于高斯混合模型的汉语方言辨识系统

顾明亮马勇

徐州师范大学物理系徐州师范大学物理系

通讯作者: 顾明亮

Abstract

Abstract: This paper sets up a GMM-based Chinese dialect identification system and presents the approach for estimation of model parameters. The paper also discusses the influence of the feature and the number of Gaussian mixture component. The experimental results showed that the system can arrived at average identification rate of 84.17% on three different dialects in the same province.

Key words: GMM, Chinese Dialect identification, speech recognition

摘要： 本文建立了一个基于高斯混合模型的汉语方言辨识系统，并给出了模型参数的估计方法，论文讨论了特征参数和高斯混合数对系统辨识的影响，实验结果表明，系统对同一省内的三种不同方言的辨识率平均可以达到84.17%。

关键词: 高斯混合模型、汉语方言辨识、语音识别

Gu Mingliang1，2 Ma Yong1 . GMM-based Chinese Dialect identification System[J]. Computer Engineering and Applications, 2007, 43(3): 204-204.

顾明亮马勇. 基于高斯混合模型的汉语方言辨识系统[J]. 计算机工程与应用, 2007, 43(3): 204-204.

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GMM-based Chinese Dialect identification System

基于高斯混合模型的汉语方言辨识系统

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