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Knowledge-based Acoustic-phonetic Decoding of Speech : A Case-study with the APHODEX Project

Identifieur interne : 00E186 ( Main/Merge ); précédent : 00E185; suivant : 00E187

Knowledge-based Acoustic-phonetic Decoding of Speech : A Case-study with the APHODEX Project

Auteurs : Jean-Paul Haton [France]

Source :

RBID : CRIN:haton91c

English descriptors

Abstract

The APHODEX project aims at investigating the role of Artificial Intelligence knowledge-based reasoning techniques in the acoustic-phonetic decoding (APD) of continuous speech. This paper constitutes an evaluation of this project. It briefly presents the present state of the APHODEX system and concentrates of some issues of APD that were raised during the project regarding several aspects\, : segmentation, amount of knowledge necessary for APD, choice of a proper unit decoding strategy.

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CRIN:haton91c

Le document en format XML

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<orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
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<div type="abstract" xml:lang="en" wicri:score="1283">The APHODEX project aims at investigating the role of Artificial Intelligence knowledge-based reasoning techniques in the acoustic-phonetic decoding (APD) of continuous speech. This paper constitutes an evaluation of this project. It briefly presents the present state of the APHODEX system and concentrates of some issues of APD that were raised during the project regarding several aspects\, : segmentation, amount of knowledge necessary for APD, choice of a proper unit decoding strategy.</div>
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{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     CRIN:haton91c
   |texte=   Knowledge-based Acoustic-phonetic Decoding of Speech : A Case-study with the APHODEX Project
}}

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