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Structural Representation of Speech for Phonetic Classification

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Gutkin&King 17th ICPR v.3.pdf (266.9Kb)
Date
08/2004
Author
Gutkin, Alexander
King, Simon
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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.
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http://hdl.handle.net/1842/922
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  • Linguistics and English Language publications

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