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17th International Conference on Pattern Recognition (ICPR'04) - Volume 3
Structural Representation of Speech for Phonetic Classification
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Alexander Gutkin, University of Edinburgh, UK
Simon King, University of Edinburgh, UK
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.
Citation:
Alexander Gutkin, Simon King, "Structural Representation of Speech for Phonetic Classification," icpr, vol. 3, pp.438-441, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004
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