Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41437
Title: Who is Really Talking? A Visual-Based Speaker Diarization Strategy
Authors: Marín-Reyes, Pedro A.
Lorenzo-Navarro, Javier 
Castrillón-Santana, Modesto 
Sánchez-Nielsen, Elena
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Visual diarization strategies
Local descriptors
Histogram distances
F-reid
Issue Date: 2018
Journal: Lecture Notes in Computer Science 
Abstract: The speaker activity at the Canary Islands Parliament is recorded, and later manually annotated. This task can be modelled as a diarization problem, that is a way to automatically annotated who and when is speaking. In this paper, we propose the use of the visual cue to solve the diarization task. To perform this approach, it is mandatory to detect individuals, determine the one speaking, and extract features for matching. In order to test the performance of our proposal, we evaluate four different strategies based on the visual shot features.
URI: http://hdl.handle.net/10553/41437
ISBN: 9783319747262
ISSN: 0302-9743
DOI: 10.1007/978-3-319-74727-9_38
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 10672 LNCS, p. 322-329
Appears in Collections:Capítulo de Libro

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