Earticle

초록

영어

It has experienced how difficult People with foreign language learning, it is to pronounce a new language different from the native language. The goal of various foreigners who want to learn Korean is to speak Korean as well as their native language to communicate smoothly. However, each native language's vocal habits also appear in Korean pronunciation, which prevents accurate information transmission. In this paper, the pronunciation of Chinese learners was compared with that of Korean. For comparison, the fundamental frequency and its variation of the speech signal were examined and the spectrogram was analyzed. The Formant frequencies known as the resonant frequency of the vocal tract were calculated. Based on these characteristics parameters, the classifier of the Supporting Vector Machine was found to classify the pronunciation of Koreans and the pronunciation of Chinese learners. In particular, the linguistic proposition was scientifically proved by examining the Korean pronunciation of /ㄹ/ that the Chinese people were not good at pronouncing.

목차

Abstract
1. INTRODUCTION
2. Principles of Speech Production and Speech Analysis Methods
2.1 Speech Production Principles
2.2 Speech Analysis Methods
2.3 Results of Previous Studies
2.4 Support Vector Machine
3. Proposed Evaluation Method of Korean Pronunciation
4. Experiments and Results
5. Conclusion
REFERENCE

키워드

저자

• Kyungnam Jang [ Department Of Korean Language & Literature, Soongsil University, Korea ]
• Kwang-Bock You [ Electronic Information Engineering IT Convergence, Soongsil University, Korea ]
• Hyungwoo Park [ Quantum Dot Display Development team, Samsung Display, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Culture Technology(IJACT)

• 간기

  계간

• pISSN

  2288-7202

• eISSN

  2288-7318

• 수록기간

  2013~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700