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  Can unquantised articulatory feature continuums be modelled?

Scharenborg, O., & Wan, V. (2007). Can unquantised articulatory feature continuums be modelled? In INTERSPEECH 2007 - 8th Annual Conference of the International Speech Communication Association (pp. 2473-2476). ISCA Archive.

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DA9A17B2d01.pdf (Publisher version), 580KB
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Scharenborg, Odette1, Author
Wan , Vincent2, Author
Affiliations:
1Centre for Language and Speech Technology, Radboud University Nijmegen, The Netherlands, ou_persistent22              
2Department of Computer Science, University of Sheffield, United Kingdom , ou_persistent22              

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Free keywords: articulatory features, speech analysis, speech recognition.
 Abstract: Articulatory feature (AF) modelling of speech has received a considerable amount of attention in automatic speech recognition research. Although termed ‘articulatory’, previous definitions make certain assumptions that are invalid, for instance, that articulators ‘hop’ from one fixed position to the next. In this paper, we studied two methods, based on support vector classification (SVC) and regression (SVR), in which the articulation continuum is modelled without being restricted to using discrete AF value classes. A comparison with a baseline system trained on quantised values of the articulation continuum showed that both SVC and SVR outperform the baseline for two of the three investigated AFs, with improvements up to 5.6% absolute.

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Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
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Title: the 8th Annual Conference of the International Speech Communication Association
Place of Event: Antwerp, Belgium
Start-/End Date: 2007-08-27 - 2007-08-31

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Title: INTERSPEECH 2007 - 8th Annual Conference of the International Speech Communication Association
Source Genre: Proceedings
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Publ. Info: ISCA Archive
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2473 - 2476 Identifier: URI: , http://www.isca-speech.org/archive/interspeech_2007