Japanese Pronunciation Instruction System Using Speech Recognition Methods

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概要

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• We propose a new CALL (Computer-Assisted Language Learning) system for non-native learners of Japanese using speech recognition methods. The aim of the system is to help them develop natural pronunciation by automatically detecting their pronunciation errors and then providing effective feedback instruction. An automatic scoring method based on HMM log-likelihood is used to assess their pronunciation. Native speakers' scores are normalized by the mean and standard deviation for each phoneme and are used as threshold values to detect pronunciation errors. Unlike previous CALL systems, we not only detect pronunciation errors but also generate appropriate feedback to improve them. Especially for the feedback of consonants, we propose a novel method based on the classification of the place and manner of articulation. The effectiveness of our system is demonstrated with preliminary trials by several non-native speakers.

• 社団法人電子情報通信学会の論文
• 2000-11-25

著者

• Dantsuji Masatake

  The Author Is With The Center For Information And Multimedia Studies Kyoto University

• Kawahara Tatsuya

  The Authors Are With The School Of Informatics Kyoto University

• Doshita Shuji

  The Author Is With The Department Of Electronics And Informatics Ryukoku University

• JO Chul-Ho

  The authors are with the School of Informatics, Kyoto University

• Jo Chul-ho

  The Authors Are With The School Of Informatics Kyoto University

関連論文

• Japanese Pronunciation Instruction System Using Speech Recognition Methods

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