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An information theory based data-homogeneity measure for voice comparison

Ajili Moez 1 Jean-François Bonastre 1 Solange Rossato 2 Juliette Kahn 3 Itshak Lapidot 
1 LIA - Laboratoire Informatique d'Avignon
2 GETALP - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole
LIG - Laboratoire d'Informatique de Grenoble
3 LCM - Laboratoire commun de métrologie LNE-CNAM
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01170529
Contributor : Laurent Besacier Connect in order to contact the contributor
Submitted on : Wednesday, July 1, 2015 - 4:34:09 PM
Last modification on : Sunday, June 26, 2022 - 5:00:48 AM

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  • HAL Id : hal-01170529, version 1

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UNIV-AVIGNON | UGA | CNRS | CNAM | LIG_TDCGE_GETALP | LNE | LIA | UNIV-HESAM | LNE-CNAM | ANR

Citation

Ajili Moez, Jean-François Bonastre, Solange Rossato, Juliette Kahn, Itshak Lapidot. An information theory based data-homogeneity measure for voice comparison. Interspeech 2015, Sep 2015, Dresden, Germany. ⟨hal-01170529⟩

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