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Text-independent speaker identification by genetic clustering radial basis function network

Yue, Xicai; Ye, Datian; Liu, Ming

Authors

Alex Yue Alex.Yue@uwe.ac.uk
Senior Lecturer in Bioinstrumentation and Sensor Interfacing

Datian Ye

Ming Liu



Abstract

The authors combine genetic clustering algorithm with radial basis function neural network (RBJFNN) for avoiding locally optimum solutions in speaker identification. The effectiveness of genetic clustering algorithm is evaluated with speech utterances by comparing with normal clustering method. Speaker identification experiments show that genetic clustering RBF" can improve the correctness of text-independent speaker identification

Citation

Yue, X., Ye, D., & Liu, M. (2001). Text-independent speaker identification by genetic clustering radial basis function network. In 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. , (1777-1780)

Conference Name 23rd International Conference of the IEEE Engineering in Medicine and Biology Society
Start Date Oct 25, 2001
End Date Oct 28, 2001
Online Publication Date Nov 7, 2002
Publication Date Nov 1, 2001
Deposit Date May 7, 2021
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 2
Pages 1777-1780
Book Title 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISBN 0-7803-7211-5
Public URL https://uwe-repository.worktribe.com/output/5667483