Compact representations of the articulatory-to-acoustic mapping
Identifieur interne : 004772 ( Main/Exploration ); précédent : 004771; suivant : 004773Compact representations of the articulatory-to-acoustic mapping
Auteurs : Blaise Potard [France] ; Yves Laprie [France]Source :
English descriptors
Abstract
Articulatory codebooks are very often used to represent the articulatory-to-acoustic mapping. They thus need to be compact while offering a very good acoustic precision. This paper presents a method of articulatory codebook construction more general than that of Ouni in the sense that the articulatory-to-acoustic mapping is approximated by multivariable polynomials. The second major contribution concerns the subdivision process which finds out the most efficient subdivision, i.e. that which minimizes the size of the codebook while guarantying a very good acoustic precision. Experiments carried out show that the size of the codebook can be divided by a factor of 20, and simultaneously, the acoustic precision can improved by a factor of 2 by using second order polynomials together with this new construction strategy.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 001636
- to stream Hal, to step Curation: 001636
- to stream Hal, to step Checkpoint: 003904
- to stream Main, to step Merge: 004921
- to stream Main, to step Curation: 004772
Le document en format XML
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They thus need to be compact while offering a very good acoustic precision. This paper presents a method of articulatory codebook construction more general than that of Ouni in the sense that the articulatory-to-acoustic mapping is approximated by multivariable polynomials. The second major contribution concerns the subdivision process which finds out the most efficient subdivision, i.e. that which minimizes the size of the codebook while guarantying a very good acoustic precision. Experiments carried out show that the size of the codebook can be divided by a factor of 20, and simultaneously, the acoustic precision can improved by a factor of 2 by using second order polynomials together with this new construction strategy.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Potard, Blaise" sort="Potard, Blaise" uniqKey="Potard B" first="Blaise" last="Potard">Blaise Potard</name></region><name sortKey="Laprie, Yves" sort="Laprie, Yves" uniqKey="Laprie Y" first="Yves" last="Laprie">Yves Laprie</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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