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Application of RBF Network Based on Immune Algorithm in Human Speaker Recognition

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Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence (ICIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5755))

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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.

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Author information

Authors and Affiliations

  1. Jiangsu Research & Development Centre for Modern Enterprise Information Software Engineering, Suzhou, 215104, Jiangsu, China

    Yan Zhou & Xinming Yu

  2. Department of Electronics & Information Engineering, Suzhou Vocational University, Suzhou, 215104, Jiangsu, China

    Yan Zhou & Xinming Yu

Authors
  1. Yan Zhou
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  2. Xinming Yu
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, Nam-Ku, 680 - 749, Ulsan, Korea

    Kang-Hyun Jo

  3. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

    Hong-Hee Lee

  4. School of Electrical Engineering, University of Ulsan, South Korea

    Hee-Jun Kang

  5. e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Str. Prov. per Casamassima Km., 3, 70010, Valenzano, (BA), Italy

    Vitoantonio Bevilacqua

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhou, Y., Yu, X. (2009). Application of RBF Network Based on Immune Algorithm in Human Speaker Recognition. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_95

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  • DOI: https://doi.org/10.1007/978-3-642-04020-7_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04019-1

  • Online ISBN: 978-3-642-04020-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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