218 citations · 315 across the 11 of their papers we have counts for
4 papers · 1 filter
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin +2
Decoding speech from brain activity is a long-awaited goal in both healthcare and neuroscience. Invasive devices have recently led to major milestones in that regard: deep learning…
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
Laura Gwilliams, Graham Flick, Alec Marantz +3
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each particip…
Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette Millet, Charlotte Caucheteux, Pierre Orhan +5
Several deep neural networks have recently been shown to generate activations similar to those of the brain in response to the same input. These algorithms, however, remain largely…
Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex
Pierre Orhan, Yves Boubenec, Jean-Rémi King
Over the last decade, numerous studies have shown that deep neural networks exhibit sensory representations similar to those of the mammalian brain, in that their activations linea…