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Underdetermined Mixture Matrix Estimation Based on Neural Network and Genetic Algorithm

  • Shuang WeiEmail author
  • Jian Peng
  • Feng Wang
  • Chungui Tao
  • Defu Jiang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10639)

Abstract

This paper proposes an improved approach to estimate the underdetermined mixture matrix to improve the performance of underdetermined blind source separation (UBSS) for speech sources. This approach only use two observed signals and consider a tangent value instead of each vector of the mixture matrix for estimation. An improved clustering method based on competitive neural network and genetic algorithm is then designed to estimate these tangent values. In the proposed method, those tangent values are designed as clustering centers. The competitive neural network is used first to obtain the initial clustering centers, and genetic algorithm is applied to search for the global optimum around the initial clustering centers. Experimental results show that the tangent values of the observed vectors have better clustering characteristics, which could reduce the computational complexity for mixture matrix estimation. The improved clustering algorithm based on neural network and genetic algorithm can estimate a better mixture matrix with high precision than the general neural network clustering algorithm, and it can improve the performance of underdetermined blind signal separation.

Keywords

Underdetermined blind source separation Tangent value Competitive neural network Genetic algorithm 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 61401145), the Natural Science Foundation of Jiangsu Province (Grant No. BK20140858, BK20151501), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Shuang Wei
    • 1
    • 2
    Email author
  • Jian Peng
    • 2
  • Feng Wang
    • 2
  • Chungui Tao
    • 2
  • Defu Jiang
    • 2
  1. 1.College of Information, Mechanical and Electrical EngineeringShanghai Normal UniversityShanghaiChina
  2. 2.Array and Information Processing Laboratory, College of Computer and InformationHohai UniversityNanjingChina

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