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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/922

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Gutkin&King 17th ICPR v.3.pdf266.92 kBAdobe PDFView/Open
Title: Structural Representation of Speech for Phonetic Classification
Authors: Gutkin, Alexander
King, Simon
Issue Date: Aug-2004
Citation: Proc. 17th International Conference on Pattern Recognition (ICPR)
Publisher: IEEE Computer Society Press
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.
URI: http://hdl.handle.net/1842/922
Appears in Collections:CSTR publications
Linguistics and English Language publications

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