Earticle

초록

영어

Voice activity detection (VAD) is the key of voice recognition, voice synthesis and speech-sound enhancement.For the sake of improve the accuracy and robustness of speech endpoint detection system. Combining the advantages of adaptive genetic algorithm (AGA) and improved radial basis function network (RBF) defects in existing learning methods. This paper presents a comprehensive detection method-- Adaptive genetic algorithm radial basis function network. This method uses adaptive genetic algorithm to simultaneously optimize the center, the width and the structure of RBF network. The method using wavelet analysis to extract the characteristics of the speech signal, use them as an input amount to the radial basis function networks. Establish voice detection system model, this method enhance the accuracy of the detection system and has better robustness.

목차

Abstract
 1. Introduction
 2. Adaptive Genetic Algorithm Radial basis Function Neural Network
 3. Create a Voice Activity Detection Model
 4. Algorithm Steps
 5. Simulation Experiments and Results
 6. Conclusion
 Acknowledgment
 References

키워드

저자

• Bao-yuan Chen [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology,Harbin 150080,China ]
• Ya-qiong Lan [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology,Harbin 150080,China ]
• Jing-yang Liu [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology,Harbin 150080,China ]
• Zi-he Li [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology,Harbin 150080,China ]
• Xiao-yang Yu [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology,Harbin 150080,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605