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	Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception
	Jia J(贾珈) ; Liang WJ(梁伟俭) ; Wu YH(吴育昊) ; Zhang XL(张秀龙) ; Wang H(王昊) ; Cai LH(蔡莲红) ; Meng ML(蒙美玲) ; Jia Jia ; Wai-Kim Leung ; Yu-Hao Wu ; Xiu-Long Zhang ; Hao Wang ; Lian-Hong Cai ; Helen M. Meng
	2016-03-30 ; 2016-03-30
关键词	second language learning computer-aided pronunciation training mispronunciation computational speech perception TN912.3
其他题名	Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception
中文摘要	Computer-aided pronunciation training(CAPT)technologies enable the use of automatic speech recognition to detect mispronunciations in second language(L2)learners’speech.In order to further facilitate learning,we aim to develop a principle-based method for generating a gradation of the severity of mispronunciations.This paper presents an approach towards gradation that is motivated by auditory perception.We have developed a computational method for generating a perceptual distance(PD)between two spoken phonemes.This is used to compute the auditory confusion of native language(L1).PD is found to correlate well with the mispronunciations detected in CAPT system for Chinese learners of English,i.e.,L1 being Chinese(Mandarin and Cantonese)and L2 being US English.The results show that auditory confusion is indicative of pronunciation confusions in L2 learning.PD can also be used to help us grade the severity of errors(i.e.,mispronunciations that confuse more distant phonemes are more severe)and accordingly prioritize the order of corrective feedback generated for the learners.; Computer-aided pronunciation training(CAPT) technologies enable the use of automatic speech recognition to detect mispronunciations in second language(L2) learners' speech. In order to further facilitate learning, we aim to develop a principle-based method for generating a gradation of the severity of mispronunciations. This paper presents an approach towards gradation that is motivated by auditory perception. We have developed a computational method for generating a perceptual distance(PD) between two spoken phonemes. This is used to compute the auditory confusion of native language(L1). PD is found to correlate well with the mispronunciations detected in CAPT system for Chinese learners of English,i.e., L1 being Chinese(Mandarin and Cantonese) and L2 being US English. The results show that auditory confusion is indicative of pronunciation confusions in L2 learning. PD can also be used to help us grade the severity of errors(i.e.,mispronunciations that confuse more distant phonemes are more severe) and accordingly prioritize the order of corrective feedback generated for the learners.
语种	英语 ; 英语
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/146881]
专题	清华大学
推荐引用方式 GB/T 7714	Jia J,Liang WJ,Wu YH,et al. Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception[J],2016, 2016.
APA	贾珈.,梁伟俭.,吴育昊.,张秀龙.,王昊.,...&Helen M. Meng.(2016).Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception..
MLA	贾珈,et al."Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception".(2016).

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