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Describing Gender Equality in French Audiovisual Streams with a Deep Learning Approach Cover

Describing Gender Equality in French Audiovisual Streams with a Deep Learning Approach

VIEW Journal of European Television History and Culture
Volume 7 (2018): Issue 14
By: ,  ,   and    
Open Access
|Dec 2018
Authors

Authors

David Doukhan

ddoukhan@ina.fr

French National Audiovisual Institute (INA)

Géraldine Poels

gpoels@ina.fr

French National Audiovisual Institute (INA)

Zohra Rezgui

zrezgui@ina.fr

French National Audiovisual Institute (INA)

Jean Carrive

jcarrive@ina.fr

French National Audiovisual Institute (INA)
DOI: https://doi.org/10.18146/2213-0969.2018.jethc156 | Journal eISSN: 2213-0969
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Language: English
Page range: 103 - 122
Published on: Dec 31, 2018
Published by: Sound & Vision
In partnership with: Paradigm Publishing Services
Keywords:
Gender Equality,
Digital Humanities,
Machine Learning,
Machine Listening,
Speaker Gender Detection,
Women speaking time percentage,
Audiovisual description,
open-data

© 2018 David Doukhan, Géraldine Poels, Zohra Rezgui, Jean Carrive, published by Sound & Vision
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

Volume 7 (2018): Issue 14
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