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2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議  >

A Phone Verification Approach to Pronunciation Quality Assessment for Spoken Language Learning

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タイトル: A Phone Verification Approach to Pronunciation Quality Assessment for Spoken Language Learning
著者: Sim, Khe Chai 著作を一覧する
発行日: 2009年10月 4日
出版者: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
誌名: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
開始ページ: 619
終了ページ: 622
抄録: Computer-assisted language learning (CALL) is a form of computer-based assisted learning used in teaching to facilitate the language learning process. One major aspect of CALL for spoken language learning is the automatic assessment of pronunciation quality. It greatly relies on speech recognition technology to provide gradings for the pronunciation quality of the given input speech. This paper introduces a phone verification approach which allows the detection of mispronunciations at phone level. The detection thresholds can be determined based on the equal error rate (EER) metric using a database containing only native speech. In addition this approach also allows aggregation of assessment scores at sentence and speaker levels by computing the average phone rejection rates. This paper compares three different methods of generating goodness of pronunciation confidence scores. In addition, this paper also examines both unsupervised versus supervised adaptation techniques to improve the verification performance. Experimental results are reported based on the EER metric.
記述: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Automatic Speech Recognition (6 October 2009).
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/39772
出現コレクション:2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

 

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