Automatic Pronunciation Scoring for Mandarin Proficiency Test Based on Speech Recognition

Author

Liu, Yang ; Yang, Chunting ; Ma, Weifeng

Author_Institution

Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China

fYear

2009

fDate

15-16 May 2009

Firstpage

168

Lastpage

171

Abstract

In this paper, a framework for the automatic pronunciation scoring is presented. The system included three modules which are pronunciation parameter database , evaluation model based on artificial neural network and automatic scoring module .The Mandarin proficiency test to be completed by computer-aided evaluation, not only can remove the human factor to establish uniform standards, but also save time, improve efficiency, accelerate the promotion and popularization of Mandarin.

Keywords

human factors; matrix algebra; natural language processing; speech recognition; Mandarin proficiency test; artificial neural network; automatic pronunciation scoring; computer-aided evaluation; evaluation model; human factor; pronunciation parameter database; speech recognition; Automatic testing; Cepstrum; Feature extraction; Frequency; Human factors; Life estimation; Signal processing; Speech processing; Speech recognition; System testing; mandarin proficiency test; pronunciation scoring; speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Ubiquitous Computing and Education, 2009 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3619-4

Type

conf

DOI

10.1109/IUCE.2009.31

Filename

5223247