asr软件在语音超分音特征教学中的应用

IF 2.3 Q1 EDUCATION & EDUCATIONAL RESEARCH
CALICO Journal Pub Date : 2022-10-20 DOI:10.1558/cj.19033
Timothy Kochem, J. Beck, E. Goodale
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引用次数: 1

摘要

技术为语言学习、教学和评估的新模式铺平了道路。然而,要开发这种口语交际工具,特别是针对发音教学中的超分段特征的工具,仍有大量的工作要做。因此,这篇重要的文献综述探讨了研究人员如何尝试使用自动语音识别(ASR)系统创建计算机辅助发音训练工具,以帮助语言学习者感知和产生超分词特征。我们使用了1990年至2020年的30篇文章来探索技术是如何被用来帮助学习者熟练掌握超分词特征的。根据我们的专题分析,在研究参与者可用的配备asr的软件与大学和课堂教师和学生可用的软件之间仍然存在持续的差距。此外,用于语言评估的语音软件的生产似乎也有了更多的发展。相比之下,将这些工具转化为个性化学习的教学工具似乎几乎不存在。展望未来,我们建议更多的商业化发音系统利用ASR,使用目前开发或正在开发的技术,公开提供口语熟练程度判断的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of ASR-Equipped Software in the Teaching of Suprasegmental Features of Pronunciation
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how researchers have tried to create computer-assisted pronunciation training tools using automatic speech recognition (ASR) systems to aid language learners in the perception and production of suprasegmental features. We used 30 texts from 1990 to 2020 to explore how technologies have been and are currently being used to help learners develop their proficiency with suprasegmental features. Based on our thematic analysis, a persistent gap still exists between ASR-equipped software available to participants in research studies and what is available to university and classroom teachers and students. Additionally, there seems to be more development in the production of speech software for language assessment. In contrast, the translation of these tools into instructional tools for individualized learning seems to be almost non-existent. Moving forward, we recommend that more commercialized pronunciation systems utilizing ASR should be made publicly available using the technologies that are currently developed or are in development for the purposes of oral proficiency judgments.
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来源期刊
CALICO Journal
CALICO Journal EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.10
自引率
10.00%
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0
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