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논문 기본 정보

자료유형
학술저널
저자정보
양병곤 (부산대학교)
저널정보
한국음성학회 말소리와 음성과학 말소리와 음성과학 제9권 제4호
발행연도
2017.12
수록면
43 - 50 (8page)

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연구주제
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연구배경
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연구방법
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초록· 키워드

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These days voice models of speech recognition software are sophisticated enough to process the natural speech of people without any previous training. However, not much research has reported on the use of speech recognition tools in the field of pronunciation education. This paper examined Google speech recognition of a short English paragraph produced by Korean college students in clear and casual speech styles in order to diagnose and resolve students’ pronunciation problems. Thirty three Korean college students participated in the recording of the English paragraph. The Google soundwriter was employed to collect data on the word recognition rates of the paragraph. Results showed that the total word recognition rate was 73% with a standard deviation of 11.5%. The word recognition rate of clear speech was around 77.3% while that of casual speech amounted to 68.7%. The reasons for the low recognition rate of casual speech were attributed to both individual pronunciation errors and the software itself as shown in its fricative recognition. Various distributions of unrecognized words were observed depending on each participant and proficiency groups. From the results, the author concludes that the speech recognition software is useful to diagnose each individual or group’s pronunciation problems. Further studies on progressive improvements of learners’ erroneous pronunciations would be desirable.

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Abstract
1. 서론
2. 연구방법
3. 분석 결과와 논의
4. 요약 및 결론
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