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Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm

Abstract : This paper proposes a method for segmenting and clustering an audio flow on the basis of speaker turns. This process, also known as speaker diarization, is of major importance in multimedia indexation. Here, we propose to realize this process online and without any prior knowledge on the number of speakers. This is done thanks to a statistical modelling of speakers based on a size-monitored growing neural gas algorithm.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00552988
Contributor : Sébastien van Luchene <>
Submitted on : Thursday, January 6, 2011 - 12:01:14 PM
Last modification on : Thursday, March 29, 2018 - 11:06:04 AM

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  • HAL Id : hal-00552988, version 1

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Jean-Louis Gutzwiller, Hervé Frezza-Buet, Olivier Pietquin. Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm. ESANN 2010, Apr 2010, Bruges, Belgium. pp.505-510. ⟨hal-00552988⟩

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