A Bibliometric Approach and Meta-Analysis of Effects of Automatic Speech Recognition on Second Language Learning

Abstract

Although automatic speech recognition technologies have gained popularity in second language learning, there are still difficulties facing the use of automatic speech recognition in second language learning. Through a bibliometric review and a meta-analysis, this study examines the effects of automatic speech recognition on second language learning. The results of this investigation show that automatic speech recognition technologies can improve second language speaking skills and reduce speaking anxiety, but whether the listening skills can be improved relies on the degree of advancement of the automatic speech recognition technologies. Teachers and students positively evaluate the use of automatic speech recognition technologies in second language learning. Bibliometric analyses reveal the top ten authors, organizations, countries, cited sources, and cited authors, as well as the chronological research trend in the research on the automatic speech recognition used in second language education.