发音
计算机科学
任务(项目管理)
号码簿
过程(计算)
背景(考古学)
自然语言处理
多媒体
语音识别
语言学
工程类
生物
操作系统
哲学
古生物学
系统工程
作者
Rahmati Putri Yaniafari,Viga Olivia,Suharyadi
出处
期刊:KnE Social Sciences
[Knowledge E]
日期:2022-03-28
被引量:6
标识
DOI:10.18502/kss.v7i7.10670
摘要
To pronounce well is a complex task, requiring students not only to possess knowledge of the appropriate sounds in a given context, but also to learn to use their vocal apparatus to make those sounds, equipped with extensive practice and feedback. Students in these situations require autonomous monitoring experiences to receive tailored feedback.. One of the technological tools learners can use to improve their pronunciation is Automatic Speech Recognition (ASR). This provides learners with individual practice and feedback to assist them s to accomplish their language goals. This study examines the database of research on the use of ASR in pronunciation instruction and learning available on Google Scholar, Springer Link, Education Resources Information Center (ERIC), Taylor & Francis Online and Directory of Open Access Journal (DOAJ). To help the process of identification, some procedures and criteria were employedThe results revealed that ten articles met the eligibility criteria. The procedures of utilizing ASR to improve students' pronunciation competency are then discussed in this study.
Keywords: teaching speaking, teaching pronunciation, Automatic Speech Recognition
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