Structural Representation of Speech for Phonetic Classification
dc.contributor.author
Gutkin, Alexander
en
dc.contributor.author
King, Simon
en
dc.coverage.spatial
4
en
dc.date.accessioned
2006-05-09T11:43:51Z
dc.date.available
2006-05-09T11:43:51Z
dc.date.issued
2004-08
dc.description.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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dc.format.extent
273326 bytes
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dc.format.mimetype
application/pdf
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dc.identifier.citation
Proc. 17th International Conference on Pattern Recognition (ICPR)
dc.identifier.uri
http://hdl.handle.net/1842/922
dc.language.iso
en
dc.publisher
IEEE Computer Society Press
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dc.relation.ispartof
3;pp. 438-441
dc.title
Structural Representation of Speech for Phonetic Classification
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dc.type
Conference Paper
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