2 papers
eess.AS2026
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…
eess.AS2026
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…