Structural Representation of Speech for Phonetic Classification

  • Authors:
  • Alexander Gutkin;Simon King

  • Affiliations:
  • University of Edinburgh, UK;University of Edinburgh, UK

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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Abstract

This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation is based on a set of phonological distinctive features which is a linguistically well-motivated alternative to the "beads-on-a-string" view of speech that is standard in current ASR systems. We report the promising results of phoneme classification experiments conducted on a standard continuous speech task.