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Bo ZHAO Xiao-hong TAN
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赵博 檀晓红
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Abstract: Many applications of computer-aided language learning system lack of evaluation & feedback of learning speech. Auto speech recognition could provide a score based on likelihood. To describe an oral English training system. Besides normal speech evaluation, error detection and prosody modification based on the result of phoneme alignment and phoneme recognition are provided by this system. Recommendations for improvement queried from correction knowledge base offer learners a timely help. Current experiment shows most mistakes made unconsciously by high-level 2nd language speaker could be corrected by it.
Key words: speech recognition, pronunciation evaluation, error detection, prosody modification
摘要: 许多许多计算机辅助英语学习的应用,都忽略了口语的教学,或者缺乏对口语学习结果良好的评估和反馈。对于这一问题,语音识别技术可以从待评价语音与参考模型以及参考语音的相似程度给以评价,作为矫正的依据。该文描述了一个采用语音识别技术的英语口语学习系统。除了通常的发音评分外,提供的矫正还包括基于音素关联和音素识别的错误检测及韵律修正。依据错误类型查询纠正知识库的改进建议,可以及时的给学习者以帮助。实验结果表明,能够纠正有一定基础学习者非故意的多数错误。
关键词: 语音识别, 口语评分, 错误检测, 韵律修正
Bo ZHAO Xiao-hong TAN. Application of Speech recognition technology in English pronunciation error correction[J]. Journal of Computer Applications.
赵博 檀晓红. 语音识别技术在英语发音错误矫正中的应用[J]. 计算机应用.
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http://www.joca.cn/EN/Y2009/V29/I3/761