Machine Learning: From Theory to Applications pp 203-227

Part of the Lecture Notes in Computer Science book series (LNCS, volume 661) | Cite as

Phoneme discrimination using connectionist networks

  • Raymond L. Watrous
Chapter

Abstract

The goal of this research was to evaluate the potential of connectionist networks for speech recognition. The research demonstrated that solutions to a representative set of phoneme discrimination problems could be obtained for a single male speaker. There are many unanswered questions about how these network models and methods might be extended to recognition of a complete set of phonemes, spoken by different talkers in continuous speech. Nevertheless, it may be concluded that connectionist networks are, in principle, sufficient models for acoustic phonetic speech recognition.

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Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • Raymond L. Watrous
    • 1
  1. 1.Siemens Corporate ResearchPrinceton

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