International Journal of Internet, Broadcasting and Communication

  • 제16권4호
  • /
  • Pages.495-501
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  • 2024
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  • 2288-4920(pISSN)
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  • 2288-4939(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Study on Improving Machine Learning Discriminators using Vocal Parameter of Korean Learners

  • Kyungnam Jang (Department Of Korean Language & Literature, Soongsil University) ;
  • Kwang-Bock You (Electronic Information Engineering IT Convergence, Soongsil University) ;
  • Hyungwoo Park (Department Of IT-Convergence, Dong-Seoul University)
  • 투고 : 2024.10.30
  • 심사 : 2024.11.09
  • 발행 : 2024.11.30
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초록

South Korea has transformed from one of the world's poorest countries into one of its wealthiest. Since the Korean War, the nation has not only elevated its standard of living through technological innovations but has also become a prolific producer of globally popular cultural content. This rise in the popularity of K-culture has attracted learners from various countries to the Korean language. Located strategically between China and Japan, Korea draws numerous foreign language learners, including international students and industrial trainees from countries such as Vietnam and Uzbekistan. Pronouncing Korean accurately poses challenges due to the pronunciation habits rooted in the learners' native languages. Previous research focused on analyzing the pronunciation characteristics of Chinese or Vietnamese speakers and proposed the use of a Support Vector Machine (SVM) discriminator. This study aims to refine the parameters of the SVM's hyperplane to better distinguish pronunciation variations. It introduced research that leverages this discriminator to facilitate more precise Korean pronunciation among non-native speakers.

키워드

과제정보

This research was supported by the Soongsil University Research Fund in 2018.

참고문헌

  1. Korean Educational Statistics service, "International students by country and school," Center for Educational Statistics, 2020.
  2. Tae-kyung Kim, "An Optimality-theoretic Approach to Interlanguage: Focused on /l/-substitution of Korean-learning Vietnamese", Journal of The Korean Language and Literature, Vol. 80, pp. 31-55, March 2019.
  3. E.J. Kang, Thi-Huong Tran, J.H Cho., " A Study on the Vietnamese Learner's Korean Intonation phonetic research - Focused on University students Learning the Korean language as a foreign language in Vietnam ." Korean collection of treatises, Vol.36, pp.191-219, 2020.
  4. Duyong Lee, "The Production of Korean Stops by Vietnamese Beginner Learners." Korean Linguistics, Vol.82, pp.73-94, 2019.
  5. Shinae So, Kang-Hee Lee, Kwang-Bock You, Ha-Young Lim, Jisu Park, "A Study of Peak Finding Algorithms for the Autocorrelation Function of Speech Signal," The Journal of KSCI, Vol. 21, No.12, 2016.
  6. Savitha Upadhya, "Pitch Detection in Time and Frequency Domain," ICCICT, 2012.
  7. L. Rabiner and R. Schafer, Theory and Applications of Digital Speech Processing, 1st Edition, Prentice-Hall, 2011.
  8. M. J. Bae, and S. H. Lee, Digital Voice Analysis, Seould, Korea: Dongyoung publish, 1998.
  9. H. W. Park, M. S. Kim, and M. J. Bae, "Improving Pitch Detection through Emphasized Harmonics in Time-Domain," Communications in Computer and Information Science, vol. 352, pp. 184-189, 2012.
  10. H. W. Park, S. G. Bae, and M. J. Bae, "Analysis of Confidence and Control through Voice of Kim Jung-un," International Information Institute, vol. 19, no. 5, May 2016.
  11. L. Rabiner, and R. Schafer, Digital Processing of Speech Signals, NY, USA: Pearson, 1978.
  12. H.W. Park, A.R. Khil and M.J. Bae, "Pitch Detection based on Signal-to-Noise-Ratio Estimation and Compensation for Continuous Speech Signal," ICHIT, Volume 310 of the series Communications in Computer and Information Science, pp. 767-774, 2012.
  13. Kyungnam Jang, Kwang-Bock You and Hyungwoo Park, "A Study on Correcting Korean Pronunciation Error of Foreign Learners by Using Supporting Vector Machine Algorithm. " International Journal of Advanced Culture Technology, Vol.8 No.3, pp.316-324, 2020.
  14. Hyungwoo Park, "Improvement of Sound Quality of Voice Transmission by Finger." International Journal of Advanced Culture Technology, Vol.7 No.2, pp.218-226, 2019.
  15. Won-Hee Lee, Hyungwoo Park, Seong-Geon Bae and Myung-Jin Bae, " A Study on the Possibility of Drinking through speech Waveform Compensation in Wireless Communication Environments. " The Journal of The Institute of Internet, Broadcasting and Communication (IIBC), Vol. 17, No. 3, pp.47-53, 2017.