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Analyse conjointe du signal sonore et de sa transcription pour l'identification nommée de locuteurs

Abstract : For some years, processing mass of multimedia documents has become a very crucial issue for applications like indexation or information retrieval. Among the focused information, speaker identity can be very useful for such applications. A huge collection of documents cannot be manually processed with a reasonable cost: only automatic systems are a relevant solution.In this paper, we consider the extraction of speaker identity (firstname and lastname) from audio records of broadcast news. Using a rich transcription system, we present a method which allows to extract speaker identities from automatic transcripts and to assign them to speaker turns. Experiments are carried out on French broadcast news records from the ESTER 1 phase II evaluation campaign.
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https://hal.archives-ouvertes.fr/hal-00412446
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  • HAL Id : hal-00412446, version 1

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Vincent Jousse, Sylvain Meignier, Christine Jacquin, Simon Petitrenaud, Yannick Estève, et al.. Analyse conjointe du signal sonore et de sa transcription pour l'identification nommée de locuteurs. Traitement Automatique des Langues, ATALA, 2009, 50 (1), pp.201-225. ⟨hal-00412446⟩

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