Title :
Research on Mandarin Objective Assessment Based on Support Vector Machine
Author :
Yang, Chunting ; Liu, Yang ; Yu, Jing
Author_Institution :
Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
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.
Keywords :
speech processing; support vector machines; Mandarin objective assessment; Mandarin pronunciation; speech assessment; support vector machine; Cepstrum; Frequency domain analysis; Humans; Information analysis; Psychology; Speech analysis; Speech processing; Support vector machine classification; Support vector machines; Testing; mandarin objective assessment; mandarin proficiency test; support vector machine;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.378