Earticle

초록

영어

An automatic speech recognition system is one of the popular research problems. There are many research groups working in this field for different language including Japanese. Japanese vowel recognition is one of important parts in the Japanese speech recognition system. The vowel classification system with the Mamdani fuzzy inference system was developed in this research. We tested our system on the blind test data set collected from one male native Japanese speaker and four male non-native Japanese speakers. All subjects in the blind test data set were not the same subjects in the training data set. We found out that the classification rate from the training data set is 95.0 %. In the speaker-independent experiments, the classification rate from the native speaker is around 70.0 %, whereas that from the non-native speakers is around 80.5 %.

목차

Abstract
 1. Introduction
 2. System Overview
 3. Experimental Results
 4. Conclusion
 Acknowledgments
 REFERENCES

키워드

저자

• Suwannee Phitakwinai [ Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand ]
• Hideyuki Sawada [ Department of Intelligent Mechanical Systems Engineering, Faculty of Engineering, Kagawa University, Takamatsu, Japan ]
• Sansanee Auephanwiriyakul [ Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand, Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand ] 교신저자
• Nipon Theera-Umpon [ 3Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand, Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국융합학회논문지 [Journal of the Korea Convergence Society]

• 간기

  월간

• pISSN

  2233-4890

• 수록기간

  2010~2022

• 십진분류

  KDC 530 DDC 620