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Who is Really Talking? A Visual-Based Speaker Diarization Strategy

  • Pedro A. Marín-ReyesEmail author
  • Javier Lorenzo-Navarro
  • Modesto Castrillón-Santana
  • Elena Sánchez-Nielsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10672)

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.

Keywords

Visual diarization strategies Local descriptors Histogram distances F-reid 

Notes

Acknowledgement

This work is partially supported by Government of Spain through TIN2015-64395-R and by the Ministerio de Economía y Competitividad, Government of Spain and FEDER funds of the European Union through TIN2016-78919-R (MINECO/FEDER).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Pedro A. Marín-Reyes
    • 1
    Email author
  • Javier Lorenzo-Navarro
    • 1
  • Modesto Castrillón-Santana
    • 1
  • Elena Sánchez-Nielsen
    • 2
  1. 1.Instituto Universitario SIANIUniversidad de las Palmas de Gran CanariaLas PalmasSpain
  2. 2.Departamento de Ingeniería Informática y de SistemasUniversidad de la LagunaSanta Cruz de TenerifeSpain

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