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Improving ASR-based topic segmentation of TV programs with confidence measures and semantic relations

Camille Guinaudeau 1 Guillaume Gravier 2 Pascale Sébillot 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
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https://hal.inria.fr/inria-00555804
Contributor : Valentin Emiya <>
Submitted on : Friday, January 14, 2011 - 2:40:01 PM
Last modification on : Thursday, March 5, 2020 - 3:21:58 PM

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  • HAL Id : inria-00555804, version 1

Citation

Camille Guinaudeau, Guillaume Gravier, Pascale Sébillot. Improving ASR-based topic segmentation of TV programs with confidence measures and semantic relations. Proc. Annual Intl. Speech Communication Association Conference (Interspeech), Sep 2010, Makuhari, Japan. ⟨inria-00555804⟩

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