摘要
本文描述SpeakGoodChinese(SGC)这一语音识别和视觉化技术如何帮助学生习得汉语声调。SGC可以通过识别分析学生的发音并提供视觉上的反馈来辅助学生掌握声调。本文也讨论如何将SGC有效融入美国本科汉语初级阶段教学。研究以2014-2016年间学生所制视频文件为样本计算声调发音准确率。语料的量化分析及教学策略的质性分析都指向语音视觉化技术对声调习得的积极作用。研究发现,将SGC与严格评估结合能促进学生独立练习并促使老师通过频繁实时纠错改善学生的发音。
This study describes how SpeakGoodChinese(SGC), a speech recognition and visualization technology, can help students improve their tones by visualizing the difference between their attempts and the correct pronunciation. The study also discusses how the technology can be best integrated into a beginning-level curriculum for learning Chinese as a foreign language(CFL) in a college-level Chinese language program in the United States. This study analyzes studentcreated videos over the years of 2014-2016 and calculates the tone accuracy rate of the speech samples. Quantitative and qualitative analysis of the speech samples and teaching strategies yields findings that corroborate previous research showing the value of speech visualization technology. The findings suggest that integrating SGC into the beginning-level CFL curriculum as a supportive resource combined with high-stake assignments requiring proper tones can motivate students to practice independently and empower instructors to provide more corrective feedback to improve students’ tone accuracy.
作者
赵冉
杜乃岩
罗万松
Zhao Ran;Du Naiyan;Rob J.J.H.van(Department of East Asian Language,Literature&Cultures,University of Virginia;Department of Linguistics and Languages,Michigan State University;Son The Amsterdam Center for Language and Communication,ACLC University of Amsterdam and NKI-AVL Amsterdam)
出处
《国际汉语教育(中英文)》
2020年第1期69-85,共17页
International Chinese Language Education
基金
a result of a project funded by the Learning Technology Incubator Grant awarded by the College of Arts and Sciences of University of Virginia
关键词
汉语声调
语音视觉化技术
声调习得策略
Mandarin tone
speech visualization technology
tone acquisition strategy