De l'importance de l'homogénéisation des conventions de transcription pour l'alignement automatique de corpus oraux de parole spontanée
Identifieur interne : 000351 ( Main/Merge ); précédent : 000350; suivant : 000352De l'importance de l'homogénéisation des conventions de transcription pour l'alignement automatique de corpus oraux de parole spontanée
Auteurs : Dominique Fohr [France] ; Odile Mella [France] ; Denis Jouvet [France]Source :
Descripteurs français
English descriptors
Abstract
Afin de pouvoir offrir à la communauté scientifique un Corpus d’Étude pour le Français Contemporain écrit et oral (CEFC), le projet ANR ORFEO (Outils et Recherches sur le Français Ecrit et Oral) a décidé de rassembler sur une plate-forme plusieurs corpus oraux existants en associant à chacun un ensemble de couches d’annotation. La couche d’annotation la plus proche du signal audio est le résultat de l’alignement automatique en phonèmes et en mots d’un fichier audio à partir de la transcription orthographique associée à ce fichier audio.Les corpus rassemblés dans le projet ont été orthographiquement transcrits par différents laboratoires en utilisant des conventions propres à chaque laboratoire et donc hétérogènes. Au LORIA, nous avons développé le logiciel ASTALI (Automatic Speech-Text ALIgnment) pour réaliser automatiquement l’alignement en phonèmes et en mots de corpus oraux. L’objet de cet article est de présenter les difficultés rencontrées lors de l’adaptation de notre outil pour l’alignement des différents corpus ORFEO du fait de l’hétérogénéité des conventions de transcription.
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Hal:hal-01183352Le document en format XML
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Grand Est</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/nancy</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-423086" type="direct"><org type="department" xml:id="struct-423086" status="VALID"><orgName>Department of Natural Language Processing & Knowledge Discovery</orgName><orgName type="acronym">LORIA - NLPKD</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.loria.fr/la-recherche-en/departements/Knowledge-and-Language-Management</ref></desc><listRelation><relation active="#struct-206040" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation></org></tutelle><tutelle active="#struct-206040" type="indirect"><org type="laboratory" xml:id="struct-206040" status="VALID"><idno type="IdRef">067077927</idno><idno type="RNSR">198912571S</idno><idno type="IdUnivLorraine">[UL]RSI--</idno><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><date type="start">2012-01-01</date><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-413289" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>annotation of oral corpora</term><term>text-speech alignment</term></keywords><keywords scheme="mix" xml:lang="fr"><term>alignement texte-parole</term><term>annotation des corpus</term><term>corpus oraux</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Afin de pouvoir offrir à la communauté scientifique un Corpus d’Étude pour le Français Contemporain écrit et oral (CEFC), le projet ANR ORFEO (Outils et Recherches sur le Français Ecrit et Oral) a décidé de rassembler sur une plate-forme plusieurs corpus oraux existants en associant à chacun un ensemble de couches d’annotation. La couche d’annotation la plus proche du signal audio est le résultat de l’alignement automatique en phonèmes et en mots d’un fichier audio à partir de la transcription orthographique associée à ce fichier audio.Les corpus rassemblés dans le projet ont été orthographiquement transcrits par différents laboratoires en utilisant des conventions propres à chaque laboratoire et donc hétérogènes. Au LORIA, nous avons développé le logiciel ASTALI (Automatic Speech-Text ALIgnment) pour réaliser automatiquement l’alignement en phonèmes et en mots de corpus oraux. L’objet de cet article est de présenter les difficultés rencontrées lors de l’adaptation de notre outil pour l’alignement des différents corpus ORFEO du fait de l’hétérogénéité des conventions de transcription.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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