4 papers
Data Selection Effects on Self-Supervised Learning of Audio Representations for French Audiovisual Broadcasts
Valentin Pelloin, Lina Bekkali, Reda Dehak +1
Audio and speech self-supervised encoder models are now widely used for a lot of different tasks. Many of these models are often trained on clean segmented speech content such as L…
spINAch: A Diachronic Corpus of French Broadcast Speech Controlled for Speakers' Age and Gender
Simon Devauchelle, David Doukhan, Rémi Uro +7
We present spINAch, a large diachronic corpus of French speech from radio and television archives, balanced by speakers' gender, age (20-95 years old), and spanning 60 years from 1…
Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis
Valentin Pelloin, Lena Dodson, Émile Chapuis +2
This paper introduces a computational framework designed to delineate gender distribution biases in topics covered by French TV and radio news. We transcribe a dataset of 11.7k hou…
Gender Representation in TV and Radio: Automatic Information Extraction methods versus Manual Analyses
David Doukhan, Lena Dodson, Manon Conan +6
This study investigates the relationship between automatic information extraction descriptors and manual analyses to describe gender representation disparities in TV and Radio. Aut…