Edinburgh Research Archive

Speech recognition via phonetically-featured syllables

dc.contributor.author
King, Simon
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dc.contributor.author
Taylor, Paul
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dc.contributor.author
Frankel, Joe
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dc.contributor.author
Richmond, Korin
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dc.coverage.spatial
15
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dc.date.accessioned
2006-05-11T13:08:32Z
dc.date.available
2006-05-11T13:08:32Z
dc.date.issued
2000
dc.description.abstract
We describe recent work on two new automatic speech recognition systems. The first part of this paper describes the components of a system based on phonological features (which we call Espresso-P) in which the values of these features are estimated from the speech signal before being used as the basis for recognition. In the second part of the paper, another system (which we call Espresso-A) is described in which articulatory parameters are used instead of phonological features and a linear dynamical system model is used to perform recognition from automatically estimated values of these articulatory parameters.
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dc.format.extent
181039 bytes
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dc.format.mimetype
application/pdf
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dc.identifier.citation
Koreman, J. & Barry, W. J. (eds.) with K. Kirchhoff as guest editor. Proceedings of a Workshop on Phonetics and Phonology in ASR. Parameters and features and their implications. PHONUS 5, Saarbruecken, 2000, pp.15-34
dc.identifier.uri
http://hdl.handle.net/1842/978
dc.language.iso
en
dc.publisher
University of the Saarland
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dc.title
Speech recognition via phonetically-featured syllables
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dc.type
Conference Paper
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