Research on mandarin objective assessment based on support vector machine

Authors:
Chunting Yang;Yang Liu;Jing Yu
Affiliations:
School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China;School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China;Department of Mechanical and Industry Engineering, University of Toronto, Toronto, Canada
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Mandarin objective assessment plays a very important role in the speech assessment. It still has a long way to go before it reaches the level of success. In this paper, the novel mandarin objective assessment based on Support Vector Machine (SVM) is proposed. The mandarin pronunciation is divided into consonant, vowel and tone. And the feature parameters of pronunciation are surveyed. The experimental results show that the SVM method has good classification ability and robust performances.