使用听写工具评估发音

Carol Johnson, Walcir Cardoso, Beau Zuercher, Kathleen Brannen, Suzanne Springer
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引用次数: 0

摘要

语言机构需要高效可靠的分班测试,以确保将学生分到合适的班级。要实现这一点,可以通过使用语音识别技术实现发音测试的自动评分,因为语音识别技术的可靠性已被证明可与人工评分员相媲美。然而,这项技术需要开发和维护,成本高昂,许多机构无力承担。本研究调查了通过使用免费的自动语音识别工具谷歌语音打字(GVT)在分级测试中评估英语第二语言发音的可行性。我们比较了 56 个发音分级测试的人工评分和 GVT 评分。我们的结果表明,最终评分与人类评分者使用的评分标准上的每个标准的分数之间存在很强的相关性。我们的结论是,利用这种自由言语技术可以提高语言分级测试的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing pronunciation using dictation tools
Language institutions need efficient and reliable placement tests to ensure students are placed in appropriate classes. This can be achieved by automating the scoring of pronunciation tests via the use of speech recognition, as its reliability has been shown to be comparable to that of human raters. However, this technology can be costly as it requires development and maintenance, placing it beyond the means of many institutions. This study investigates the feasibility of assessing English second language pronunciation in placement tests through the use of a free automatic speech recognition tool, Google Voice Typing (GVT). We compared human-rated and GVT-rated scores of 56 pronunciation placement tests. Our results indicate a strong correlation between scores for the final rating and for each criterion on the rubric used by human raters. We conclude that leveraging this free speech technology could increase the test usefulness of language placement tests.
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