Pronunciation recognition and assessment for mandarin Chinese

被引：0

作者：

Zhong, Cencen ^{[1
]}

Miao, Zhenjiang ^{[1
]}

机构：

[1] Beijing JiaoTong Univ, Inst Informat Sci, Beijing 100044, Peoples R China

来源：

CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 5, PROCEEDINGS | 2008年

关键词：

HTK; HMM; pronunciation recognition; pronunciation assessment; log-likelihood;

D O I：

10.1109/CISP.2008.454

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper establishes a speaker-independent pronunciation recognition and assessment system with 673 words for mandarin Chinese under the background of a Chinese learning system framework. The recognition part is based on HTK using HMM (Hidden Markov Models) and improved in the aspect of acoustic model. Making use of the recognition results and the log-likelihood obtained from the Viterbi coding, the machine scoring is performed to evaluate the quality of pronunciation. Finally the assessment approach based on log probability is combined with the pronunciation recognition system established The machine score and its correlation with expert score tire discussed and the experimental result shows that the scores are close to people's subjective scoring.

引用

页码：352 / 356

页数：5

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