Speaker Recognition Using Radial Basis Function Neural Networks

  • Deng Jianping
  • Ronda Venkateswarlu
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 14)


A text-dependent speaker recognition system base on Radial Basis Function (RBF) neural network is presented. A two-stage recognition approach is proposed, in which the speaker-cohort model and the gender model are integrated to give the decision. The speaker recognition system has been evaluated in terms of both speaker verification and closed-set speaker identification. The results clearly indicate that the two-stage procedure is able to improve the overall performance of the speaker recognition system.


Radial Basis Function Hide Neuron Radial Basis Function Neural Network Radial Basis Function Network Dynamic Time Warping 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Deng Jianping
    • 1
  • Ronda Venkateswarlu
    • 1
  1. 1.Centre for Signal Processing,School of Electrical & Electronic EngineeringNanyang Technological UniversitySingapore

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