Text-Independent Speaker Identification by Genetic Clustering Radial Basis Function Neural Network

Abstract

The authors combine genetic clustering algorithm with radial basis function neural network (RBFNN) 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 generic clustering RBFNN can improve the correctness of text-independent speaker identification.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412429

Entities

People

  • Datian Ye
  • Ming Liu
  • Xicai Yue

Organizations

  • Tsinghua University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Classification
  • Clustering
  • Contracts
  • Electrical Engineering
  • Engineering
  • Identification
  • Military Research
  • Monitoring
  • Neural Networks
  • Standardization
  • Universities

Fields of Study

  • Computer science

Readers

  • Speech Processing/Speech Recognition.
  • Structural Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Biotechnology