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	Phone-based pronunciation quality assessment algorithm
	Liang Weiqian ; Wang Guoliang ; Liu Jia ; Liu Runsheng
	2010-05-06 ; 2010-05-06
关键词	Practical/ hidden Markov models interactive systems speech recognition/ phone-based pronunciation quality assessment algorithm foreign language learner computer-assisted language learning system nonnative speech recognition accent adaptation technique hidden Markov model phone accuracy speech fluency sentence pronunciation score phone quality result interactive language learning system/ B6130E Speech recognition and synthesis B0240J Markov processes C5260S Speech processing techniques C1140J Markov processes
中文摘要	This paper presents an algorithm which can provide pronunciation quality assessments to foreign language learners in computer-assisted language learning (CALL) systems. The approach is based on non-native speech recognition and accent adaptation techniques using hidden Markov models. Confidence measures at the phoneme level are calculated to check the phone accuracy and speech fluency. The sentence pronunciation score is obtained by analyzing the phone quality results. The algorithm was evaluated using a corpus of non-native speech. Test results using this database show that the approach outperforms other assessment algorithms on correlations with expert scores at the sentence level. The system has been successfully adopted by the Tsinghua University press interactive language learning system.
语种	英语 ; 英语
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11717]
专题	清华大学
推荐引用方式 GB/T 7714	Liang Weiqian,Wang Guoliang,Liu Jia,et al. Phone-based pronunciation quality assessment algorithm[J],2010, 2010.
APA	Liang Weiqian,Wang Guoliang,Liu Jia,&Liu Runsheng.(2010).Phone-based pronunciation quality assessment algorithm..
MLA	Liang Weiqian,et al."Phone-based pronunciation quality assessment algorithm".(2010).

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