Un système de compréhension automatique de la parole pour l'interrogation orale d'une base de données de bourse - Archive ouverte HAL Access content directly
Conference Papers Year : 2004

Un système de compréhension automatique de la parole pour l'interrogation orale d'une base de données de bourse

(1) , (1) , (1) , (1)
1

Abstract

In this work, we present a complete speech understanding system based on our speech recognizer: ESPERE. The input signal is processed and the best sentence is then proposed to the understanding module. In our case, the understanding problem is considered as a matching process between two different languages. At the entry, the request expressed in natural language and at the output the corresponding SQL form. The SQL request is obtained after an intermediate step in which the entry is expressed in terms of concepts. A concept represents a given meaning, it is defined by a set of words sharing the same semantic properties. In this paper, we propose a new Bayesian classifier to automatically extract the underlined concepts. We also propose a new approach for vector representation of words. Then, we describe the postprocessing step during which, we label our sentences and we generate the corresponding SQL queries. We conclude our paper by describing the integration step of our understanding module in a complete platform of human-machine oral intercation.
Fichier principal
Vignette du fichier
Jamoussi-Smaili-etalJEP2004.pdf (207.47 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00100085 , version 1 (21-11-2017)

Identifiers

  • HAL Id : inria-00100085 , version 1

Cite

Salma Jamoussi, Kamel Smaïli, Dominique Fohr, Jean-Paul Haton. Un système de compréhension automatique de la parole pour l'interrogation orale d'une base de données de bourse. Journées d'Etudes sur la Parole - JEP'04, 2004, Fès, Maroc. 4 p. ⟨inria-00100085⟩
293 View
55 Download

Share

Gmail Facebook Twitter LinkedIn More