Development of an Automatic Evaluation System of Reading-Aloud and Shadowing Performances by Japanese EFL Learners Using the Latest Speech Technology

利用最新语音技术开发日本英语学习者朗读和跟读表现自动评估系统

• 批准号: 21320105
• 负责人: YAMAUCHI Yutaka
• 金额: $ 11.56万
• 依托单位: Tokyo International University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2012
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21320105/
• 关键词: 教育評価; 測定; シャドーイング; 自動評価; 手動評価; 観点別評価; 発音評価; 韻律評価; 総合的熟達度; 音声情報処理; 外国語教育; リズム; イントネーション; GOP; 音読; TOEIC

Although shadowing is considered to be effective in improving EFL learners’ listening and speaking skills, it is both difficult and time consuming to assess shadowing performance. To solve this problem, an automatic assessing system has been newly developed using the latest speech information technology: GOP (Goodness of Pronunciation). The computer automatically compares the learner’s shadowed speech with an acous tic model based on the original text on a phoneme basis and computes numerical scores which indicate how close the learner’s shadowed speech is to the original. To confirm the validity of this automatic assessment, an experiment was conducted. Japanese EFL learners with proficiency levels ranging from 200s to 900s measured by TOEIC scores were requested to record their shadowing into the computer while listening to passages, which had been never presented before, read by a native speaker of English at a speed of approximately 140 words per minute. Then the scores obtained by the automatic system were compared to those rated manually by veteran EFL instructors. A high correlation (r=0.85) was observed between the two; thus this system is significantly valid and also saves much time and energy in assessing shadowing performance. Since the automatic scores of the learners were also highly correlated with their TOEIC scores (r=0.82), the shadowing performance can predict their overall proficiency scores. Based on the regression model, this system can predict and present TOEIC score levels. Therefore this automatic assessing system enables EFL learners to understand objectively how well they have conducted shadowing and also grasp their own proficiency levels.

尽管阴影被认为是为了解决此问题的阴影，但使用技术来开发了羚羊评估系统（发音的好处）。表明学习者的阴影语音与原始评估的价值有效性聆听以前从未介绍过的段落的计算机是由英语扬声器读取的，大约140个自动系统获得的分数与Those Manully byt byt byt byt eran efl教练进行了比较（r。 = 0.85）在两者之间观察到，自从学习者学习者的学习者的学习者（r = 0.82）之间，也可以节省和能量。基于回归模型，该系统可以呈现toeic得分水平。

项目成果

Development of a Network-based Learning System to Enhance EFL Vocabulary Knowledge

开发基于网络的学习系统以增强英语词汇知识

• 发表时间: 2009
• 期刊: 東京国際大学論叢商学部編
• 作者: Y. Yamauchi;K.Husky and A. Kawamura
• 通讯作者: K.Husky and A. Kawamura

シャドーイングの評価方法:再生率と音響モデルによる評価法は韻律面をどれだけ反映できるのか?

如何评价影子：基于播放速率和声学模型的评价方法能在多大程度上体现韵律方面？

• 发表时间: 2010
• 期刊: 外国語教育メディア学会 50回全国研究大会講演集
• 作者: 湯山トミ子;武田紀子;浜田ゆみ;三輪譲二;山内 豊,峯松信明,羅徳安,川村明美
• 通讯作者: 山内 豊,峯松信明,羅徳安,川村明美

英語シャドーイング評価における評価者間のずれと信頼性に関する分析

英语影子评价中评价者间差异及信度分析

• 发表时间: 2011
• 期刊: 外国語教育メディア学会関東支部第127回研究大会発表要項
• 作者: 湯山トミ子;武田紀子;中澤英彦;山内 豊
• 通讯作者: 山内 豊

Analysis and utilization of MLLR speaker adaptation technique for learners' pronunciation evaluation

• DOI: 10.21437/interspeech.2009-218
• 发表时间: 2009
• 作者: Dean Luo;Y. Qiao;N. Minematsu;Yutaka Yamauchi;K. Hirose

音声情報処理技術を活用したシャドーイング自動評価システムの開発

利用音频信息处理技术开发自动阴影评估系统

• 发表时间: 2009
• 期刊: 外国語教育メディア学会 49回全国研究大会講演集
• 作者: 山内 豊;峯松信明,羅徳安,川村明美
• 通讯作者: 峯松信明,羅徳安,川村明美