The Use of Artificial Neural Networks in the Speech Understanding Model - SUM
Identifieur interne : 001407 ( Main/Merge ); précédent : 001406; suivant : 001408The Use of Artificial Neural Networks in the Speech Understanding Model - SUM
Auteurs : Nehme Müller [Brésil] ; Lemos De Siqueira [Brésil] ; A. Navaux [Brésil]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: Recent neurocognitive researches demonstrate how the natural processing of auditory sentences occurs. Nowadays, there is not an appropriate human-computer speech interaction, and this constitutes a computational challenge to be overtaked. In this direction, we propose a speech comprehension software architecture to represent the flow of this neurocognitive model. In this architecture, the first step is the speech signal processing to written words and prosody coding. Afterwards, this coding is used as input in syntactic and prosodic-semantic analyses. Both analyses are done concomitantly and their outputs are matched to verify the best result. The computational implementation applies wavelets transforms to speech signal codification and data prosodic extraction and connectionist models to syntactic parsing and prosodic-semantic mapping.
Url:
DOI: 10.1007/978-3-540-74695-9_51
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000B67
- to stream Istex, to step Curation: 000950
- to stream Istex, to step Checkpoint: 000D90
Links to Exploration step
ISTEX:EED8A396ADFC0E04CAE97D1A7007E80B9EA1F09ALe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">The Use of Artificial Neural Networks in the Speech Understanding Model - SUM</title><author><name sortKey="Muller, Nehme" sort="Muller, Nehme" uniqKey="Muller N" first="Nehme" last="Müller">Nehme Müller</name></author><author><name sortKey="De Siqueira, Lemos" sort="De Siqueira, Lemos" uniqKey="De Siqueira L" first="Lemos" last="De Siqueira">Lemos De Siqueira</name></author><author><name sortKey="Navaux, A" sort="Navaux, A" uniqKey="Navaux A" first="A." last="Navaux">A. Navaux</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:EED8A396ADFC0E04CAE97D1A7007E80B9EA1F09A</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-74695-9_51</idno><idno type="url">https://api.istex.fr/document/EED8A396ADFC0E04CAE97D1A7007E80B9EA1F09A/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000B67</idno><idno type="wicri:Area/Istex/Curation">000950</idno><idno type="wicri:Area/Istex/Checkpoint">000D90</idno><idno type="wicri:doubleKey">0302-9743:2007:Muller N:the:use:of</idno><idno type="wicri:Area/Main/Merge">001407</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">The Use of Artificial Neural Networks in the Speech Understanding Model - SUM</title><author><name sortKey="Muller, Nehme" sort="Muller, Nehme" uniqKey="Muller N" first="Nehme" last="Müller">Nehme Müller</name><affiliation wicri:level="2"><country xml:lang="fr">Brésil</country><wicri:regionArea>Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Brésil</country></affiliation></author><author><name sortKey="De Siqueira, Lemos" sort="De Siqueira, Lemos" uniqKey="De Siqueira L" first="Lemos" last="De Siqueira">Lemos De Siqueira</name><affiliation wicri:level="2"><country xml:lang="fr">Brésil</country><wicri:regionArea>Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Brésil</country></affiliation></author><author><name sortKey="Navaux, A" sort="Navaux, A" uniqKey="Navaux A" first="A." last="Navaux">A. Navaux</name><affiliation wicri:level="2"><country xml:lang="fr">Brésil</country><wicri:regionArea>Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Brésil</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno></series><idno type="istex">EED8A396ADFC0E04CAE97D1A7007E80B9EA1F09A</idno><idno type="DOI">10.1007/978-3-540-74695-9_51</idno><idno type="ChapterID">Chap51</idno><idno type="ChapterID">51</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Recent neurocognitive researches demonstrate how the natural processing of auditory sentences occurs. Nowadays, there is not an appropriate human-computer speech interaction, and this constitutes a computational challenge to be overtaked. In this direction, we propose a speech comprehension software architecture to represent the flow of this neurocognitive model. In this architecture, the first step is the speech signal processing to written words and prosody coding. Afterwards, this coding is used as input in syntactic and prosodic-semantic analyses. Both analyses are done concomitantly and their outputs are matched to verify the best result. The computational implementation applies wavelets transforms to speech signal codification and data prosodic extraction and connectionist models to syntactic parsing and prosodic-semantic mapping.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001407 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 001407 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= MozartV1
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:EED8A396ADFC0E04CAE97D1A7007E80B9EA1F09A
|texte= The Use of Artificial Neural Networks in the Speech Understanding Model - SUM
}}
| This area was generated with Dilib version V0.6.20. |  |