Chapter 5. A Kernel Wrapper for Phoneme Sequence Recognition

  1. Joseph Keshet2,
  2. Samy Bengio3
  1. Joseph Keshet2,
  2. Dan Chazan1

Published Online: 14 JAN 2009

DOI: 10.1002/9780470742044.ch5

Book Title

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Additional Information

How to Cite

Keshet, J. and Chazan, D. (2009) A Kernel Wrapper for Phoneme Sequence Recognition, in Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (eds J. Keshet and S. Bengio), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470742044.ch5

Editor Information

  1. 2

    IDIAP Research Institute, Martigny, Switzerland

  2. 3

    Google Research, Google Inc., Mountain View, CA, USA

Author Information

  1. 1

    Department of Electrical Engineering, The Technion Institute of Technology, Haifa, Israel

  2. 2

    IDIAP Research Institute, Martigny, Switzerland

Publication History

  1. Published Online: 14 JAN 2009
  2. Published Print: 16 JAN 2009

ISBN Information

Print ISBN: 9780470696835

Online ISBN: 9780470742044

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CHAPTER TOOLS

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Keywords:

  • Mercer kernel in phoneme sequence recognition task;
  • kernel based algorithm for phoneme sequence recognition;
  • frame based phoneme classification using Support Vector Machines (SVMs);
  • Mercer kernels for phoneme sequence recognition;
  • phoneme sequence recognition problem;
  • frame-based phoneme classifier;
  • phoneme sequence recognition and kernel wrapper;
  • phoneme transition modeling;
  • TIMIT corpus

Summary

This chapter contains sections titled:

  • Introduction

  • Problem Setting

  • Frame-based Phoneme Classifier

  • Kernel-based Iterative Algorithm for Phoneme Recognition

  • Nonlinear Feature Functions

  • Preliminary Experimental Results

  • Discussion: Can we Hope for Better Results?

  • References

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