Structural Representation of Speech for Phonetic Classification

Alexander Gutkin, Simon King

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, 2004 (ICPR 2004)
Place of PublicationCambridge, UK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)0769521282
Publication statusPublished - 1 Aug 2004


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