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Genetic Algorithms in Speech Recognition Systems

  • K. F. Man
  • K. S. Tang
  • S. Kwong
Part of the Advanced Textbooks in Control and Signal Processing book series (C&SP)

Abstract

In speech recognition, the training (or learning) process plays an important role. When a good training model for a speech pattern is obtained, this not only enhances the speed of recognition tremendously, but also improves the quality of the overall performance in recognizing the speech utterance. In general, there are two classic approaches for this development, namely, Dynamic Time Warping (DTW) and the Hidden Markov Model (HMM).

Keywords

Genetic Algorithm Hide Markov Model Dynamic Time Warping Processing Node Multiprocessor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 1999

Authors and Affiliations

  • K. F. Man
    • 1
  • K. S. Tang
    • 1
  • S. Kwong
    • 1
  1. 1.City University of Hong KongKowloon, Hong KongChina

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