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Assessing Pronunciation Improvement in Students of English Using a Controlled Computer-Assisted Pronunciation Tool

机译:使用受控计算机辅助发音工具评估英语学生的发音改进

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Over the last few years, we have witnessed a growing interest in computer-assisted pronunciation training (CAPT) tools and the commercial success of foreign language teaching applications that incorporate speech synthesis and automatic speech recognition technologies. However, empirical evidence supporting the pedagogical effectiveness of these systems remains scarce. In this article, a minimal-pair-based CAPT tool that implements exposure-perception-production cycles and provides automatic feedback to learners is tested for effectiveness in training adult native Spanish users (English level B1-B2) in the production of a set of difficult English sounds. Working under controlled conditions, a group of users took a pronunciation test before and after using the tool. Test results were considered against those of an in-classroom group who followed similar training within the traditional classroom setting. Results show a significant pronunciation improvement among the learners who used the CAPT tool, as well as a correlation between human rater's assessment of posttests and automatic CAPT assessment of users.
机译:在过去的几年里,我们目睹了对计算机辅助发音培训(CAPT)工具的兴趣日益增长,以及纳入语音合成和自动语音识别技术的外语教学应用的商业成功。然而,支持这些系统的教学效果的经验证据仍然是稀缺的。在本文中,在培训成人本地西班牙用户(英语级B1-B2)的生产中,测试了实现曝光 - 感知 - 生产周期的最小对的CAPT工具,并为学习者提供自动反馈。困难的英语声音。在受控条件下工作,一组用户在使用该工具之前和之后拍摄了发音测试。考虑测试结果是针对在传统教室环境中遵循类似培训的课堂组的测试结果。结果在使用CAPT工具的学习者中显示出一个重要的发音改善,以及人类rater对后视和自动CAPT评估用户的相关性的相关性。

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