Application of RBF network based on immune algorithm in human speaker recognition

  • Authors:

  • Yan Zhou;Xinming Yu

  • Affiliations:

  • Jiangsu Research & Development Centre for Modern Enterprise Information, Software Engineering, Suzhou, Jiangsu, China and Department of Electronics & Information Engineering, Suzhou Vocational Uni ...;Jiangsu Research & Development Centre for Modern Enterprise Information, Software Engineering, Suzhou, Jiangsu, China and Department of Electronics & Information Engineering, Suzhou Vocational Uni ...

  • Venue:
  • ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
  • Year:
  • 2009

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Abstract

When using traditional clustering algorithms based on Radial Basis Function(RBF)network to recognize human speakers, it is hard to decide the numbers and locations of the cluster centers. To overcome these shortcomings, this paper proposes an RBF network based on artificial immune mechanism for human speaker recognition. The artificial immune mechanism can adaptively compute the number and initial locations of the centers in the hidden layer of the RBF network based on the audio sample data set. Experimental tests show that the system has a fast learning speed for network weights. The system is very good at searching for global optimum. It has a high recognition rate and is a new practical method for human speaker recognition.