Skip to Main content Skip to Navigation
Conference papers

Reconnaissance Automatique de Locuteurs à l'aide de Fonctions de Croyance

Abstract : In this paper, we consider the extraction of speaker identity (first name and last name) from audio records of broadcast news. Using an automatic speech recognition system, we present improvements for a method which allows to extract speaker identities from automatic transcripts and to assign them to speaker turns. The detected complete names are chosen as potential candidates for these assignments. All this information, which is often contradictory, is described and combined in the Belief Functions formalism, which makes the knowledge representation of the problem coherent. Experiments are carried out on French broadcast news records from a French evaluation campaign of automatic speech recocognition.
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01433893
Contributor : Sylvain Meignier <>
Submitted on : Monday, April 3, 2017 - 10:15:21 PM
Last modification on : Tuesday, December 19, 2017 - 2:42:03 PM
Document(s) archivé(s) le : Tuesday, July 4, 2017 - 2:49:45 PM

File

ident_locuteur_RFIA10.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01433893, version 1

Collections

Citation

Simon Petitrenaud, Vincent Jousse, Sylvain Meignier, Yannick Estève. Reconnaissance Automatique de Locuteurs à l'aide de Fonctions de Croyance. 17e congrès francophone Reconnaissance des Formes et Intelligence Artificielle (RFIA'10), 2010, Caen, France. ⟨hal-01433893⟩

Share

Metrics

Record views

119

Files downloads

37