Separation of speech signals for nonlinear mixtures
Identifieur interne : 000399 ( Main/Exploration ); précédent : 000398; suivant : 000400Separation of speech signals for nonlinear mixtures
Auteurs : C. G. Puntonet [Espagne] ; M. R. Alvarez [Espagne] ; A. Prieto [Espagne] ; B. Prieto [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.
Abstract
Abstract: This paper shows an approach to recover original speech signals from their nonlinear mixtures. Using a geometric method that makes a piecewise linear approximation of the nonlinear mixing space, and the fact that the speech distributions are Laplacian or Gamma type, a set of slopes is obtained as a set of linear mixtures.
Url:
DOI: 10.1007/BFb0100534
Affiliations:
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Puntonet</name><affiliation wicri:level="4"><country xml:lang="fr">Espagne</country><wicri:regionArea>Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, 18071, Granada</wicri:regionArea><orgName type="university">Université de Grenade</orgName><placeName><settlement type="city">Grenade (Espagne)</settlement><region nuts="2" type="region">Andalousie</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Espagne</country></affiliation></author><author><name sortKey="Alvarez, M R" sort="Alvarez, M R" uniqKey="Alvarez M" first="M. R." last="Alvarez">M. R. 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Prieto</name><affiliation wicri:level="4"><country xml:lang="fr">Espagne</country><wicri:regionArea>Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, 18071, Granada</wicri:regionArea><orgName type="university">Université de Grenade</orgName><placeName><settlement type="city">Grenade (Espagne)</settlement><region nuts="2" type="region">Andalousie</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>1999</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">58B77F38195AA463BC481AB58D936E74BAAF0C1A</idno><idno type="DOI">10.1007/BFb0100534</idno><idno type="ChapterID">69</idno><idno type="ChapterID">Chap69</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This paper shows an approach to recover original speech signals from their nonlinear mixtures. Using a geometric method that makes a piecewise linear approximation of the nonlinear mixing space, and the fact that the speech distributions are Laplacian or Gamma type, a set of slopes is obtained as a set of linear mixtures.</div></front></TEI><affiliations><list><country><li>Espagne</li></country><region><li>Andalousie</li></region><settlement><li>Grenade (Espagne)</li></settlement><orgName><li>Université de Grenade</li></orgName></list><tree><country name="Espagne"><region name="Andalousie"><name sortKey="Puntonet, C G" sort="Puntonet, C G" uniqKey="Puntonet C" first="C. G." last="Puntonet">C. G. Puntonet</name></region><name sortKey="Alvarez, M R" sort="Alvarez, M R" uniqKey="Alvarez M" first="M. R." last="Alvarez">M. R. Alvarez</name><name sortKey="Prieto, A" sort="Prieto, A" uniqKey="Prieto A" first="A." last="Prieto">A. Prieto</name><name sortKey="Prieto, B" sort="Prieto, B" uniqKey="Prieto B" first="B." last="Prieto">B. Prieto</name><name sortKey="Puntonet, C G" sort="Puntonet, C G" uniqKey="Puntonet C" first="C. G." last="Puntonet">C. G. Puntonet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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