A Study on Montage and Expression Styles in Cut-scenes of Mobile Game

Park, Jin-Ok

doi:10.9728/dcs.2017.18.1.55

Cited by 1 publication

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“…ASR technology, a software that uses consistent algorithms to analyze and recognize spoken language, has been widely used in various applications, including voice assistants, language translation, and speech-to-text (STT) transcription. The use of ASR technology in language education has been ongoing since the early 21st century (Park, 2017;Park et al, 2016). However, due to the lack of notable technological advancements at that time, it is difficult to compare it with recent research.…”

Section: Introductionmentioning

confidence: 99%

Digital enhancement of pronunciation assessment: Automated speech recognition and human raters*

Kim¹

2023

Phonetics Speech Sci.

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This study explores the potential of automated speech recognition (ASR) in assessing English learners' pronunciation. We employed ASR technology, acknowledged for its impartiality and consistent results, to analyze speech audio files, including synthesized speech, both native-like English and Korean-accented English, and speech recordings from a native English speaker. Through this analysis, we establish baseline values for the word error rate (WER). These were then compared with those obtained for human raters in perception experiments that assessed the speech productions of 30 first-year college students before and after taking a pronunciation course. Our sub-group analyses revealed positive training effects for Whisper, an ASR tool, and human raters, and identified distinct human rater strategies in different assessment aspects, such as proficiency, intelligibility, accuracy, and comprehensibility, that were not observed in ASR. Despite such challenges as recognizing accented speech traits, our findings suggest that digital tools such as ASR can streamline the pronunciation assessment process. With ongoing advancements in ASR technology, its potential as not only an assessment aid but also a self-directed learning tool for pronunciation feedback merits further exploration.

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Section: Introductionmentioning

confidence: 99%

Digital enhancement of pronunciation assessment: Automated speech recognition and human raters*

Kim¹

2023

Phonetics Speech Sci.

View full text Add to dashboard Cite

show abstract

A Study on Montage and Expression Styles in Cut-scenes of Mobile Game

Cited by 1 publication

References 0 publications

Digital enhancement of pronunciation assessment: Automated speech recognition and human raters*

Digital enhancement of pronunciation assessment: Automated speech recognition and human raters*

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