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A Comparative Study on the Pronunciations of Korean and Vietnamese on Korean Syllable Final Double Consonants

베트남인 한국어 학습자와 한국인의 한국어 겹받침 발음 비교 연구

  • 장경남 (숭실대학교 국어국문학과) ;
  • 유광복 (숭실대학교 전자정보공학부)
  • Received : 2022.08.30
  • Accepted : 2022.10.10
  • Published : 2022.11.30

Abstract

In this paper the comparative study on the pronunciation of Vietnamese learners and Koreans for the Korean syllable final double consonants was performed. For many errors and the suggested teaching methods related to the pronunciation of the Korean syllable final double consonants that were investigated and analyzed through linguistic research the results of this study by using the analysis tools of speech signal processing were confirmed. Thus, we suggest the new educational method in this paper. Using SVM, which is widely used in machine learning of artificial intelligence the pronunciation of Vietnamese learners and that of Koreans were compared. Being able to obtain the decision hyperplane of the SVM means that Vietnamese learners' pronunciation of the Korean syllable final double consonants is quite different from that of Koreans. Otherwise their pronunciation are pretty similar each other. The new teaching method presented in this paper is not only composed of writing and listening but is included things such as the speech signal waveform in the time domain and its corresponding energy that can be visualized to the learners.

본 논문은 한국어의 겹받침 발음에 대하여 베트남인 한국어 학습자와 한국인을 비교 연구하였다. 언어학적인 연구를 통하여 조사하고 분석한 겹받침 발음에 관한 여러 오류와 제시한 교육 방법에 대하여 공학적 특히 음성 신호처리의 분석 방법을 활용하여서 이런 연구 결과를 확인하였고 이에 우리는 본 논문에서 새로운 교육 방법을 제시하였다. 인공지능의 기계 학습에 많이 활용되고 있는 서포팅 벡터 머신 (supporting vector machine, SVM)을 사용하여서 베트남인 학습자의 발음과 한국인의 발음을 비교하였다. SVM의 초결정 평면을 구할 수 있다는 것은 베트남인 학습자의 겹받침 발음이 한국인의 발음과 차이를 보인다는 것이고, 그 반대라면 발음을 잘하고 있다는 것이다. 본 논문에서 우리가 제시한 새로운 교육 방법은 쓰기와 듣기로만 구성하는 것이 아닌 음성 신호의 시간 영역에서 파형과 그것에 대응하는 신호의 에너지 등과 같은 피교육자에게 보일 수 있는 것들을 포함하는 효율적인 발음 교육 방법이다.

Keywords

Acknowledgement

본 연구는 2020년도 숭실대학교 교내연구비 지원에 의한 연구임.

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