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Conference Papers Year : 2010

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

Jean-Louis Gutzwiller
Hervé Frezza-Buet
Olivier Pietquin

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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Dates and versions

hal-00552988 , version 1 (06-01-2011)

Identifiers

  • HAL Id : hal-00552988 , version 1

Cite

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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