Earticle

초록

영어

Tonal information is important for Chinese Mandarin speech recognition and understanding. Tone information is carried on the shape of fundamental frequencies. When constructing a tone recognition system based on support vector machine, the fundamental frequencies should be normalized by curve fitting method. The fitting coefficients are input data of support vector machine, but it cannot precisely represent the shape of fundamental frequencies. An improved tone model is proposed, which added some other information of fundamental frequencies, such as the maximum and minimum value, the position of maximum and minimum values, the fundamental frequency values of first and last point. The experimental result shows that the proposed model is more accurate with the shape of fundamental frequencies and the accuracy rate of tone recognition is increased by using the improved tone model.

목차

Abstract
 1. Introduction
 2. Curve Fitting Based Normalization
 3. Improved Tone Model for SVM based Tone Recognition
 4. Experimental Results
 5. Conclusions
 References

키워드

저자

• Qian Liu [ Microelectronics Center,Harbin Institute of Technology, Harbin, P. R. China / Department of Electronic Science and Technology, Harbin University of Science and Technology, Harbin, P. R. China ]
• Jinxiang Wang [ Microelectronics Center,Harbin Institute of Technology, Harbin, P. R. China ]
• Mingjiang Wang [ Shenzhen Graduate School, Harbin University of Science and Technology, Harbin, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605