Comparing unsupervised speech learning directly to human performance in speech perception. - Juliette Millet; Nika Jurov; Ewan Dunbar (CogSci, 2019)

Learning to Detect Dysarthria from Raw Speech. - Juliette Millet; Neil Zeghidour (ICASSP, 2019)

Independent and automatic evaluation of acoustic-to-articulatory inversion models. - Maud Parrot; Juliette Millet; Ewan Dunbar (CoRR, 2019)

The Perceptimatic English Benchmark for Speech Perception Models. - Juliette Millet; Ewan Dunbar (CogSci, 2020)

Perceptimatic: A Human Speech Perception Benchmark for Unsupervised Subword Modelling. - Juliette Millet; Ewan Dunbar (INTERSPEECH, 2020)

Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction. - Maud Parrot; Juliette Millet; Ewan Dunbar (INTERSPEECH, 2020)

Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models. - Juliette Millet; Ioana Chitoran; Ewan Dunbar (CoNLL, 2021)

Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech. - Juliette Millet; Jean-Remi King (CoRR, 2021)

Do self-supervised speech models develop human-like perception biases? - Juliette Millet; Ewan Dunbar (ACL (1), 2022)

Toward a realistic model of speech processing in the brain with self-supervised learning. - Juliette Millet; Charlotte Caucheteux; Pierre Orhan; Yves Boubenec; Alexandre Gramfort; Ewan Dunbar; Christophe Pallier; Jean-Remi King (NeurIPS, 2022)

Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study. - Justine Frija; Juliette Millet; Emilie Bequignon; Ala Covali; Guillaume Cathelain; Josselin Houenou; Helene Benzaquen; Pierre Alexis Geoffroy; Emmanuel Bacry; Mathieu Grajoszex; Marie-Pia d Ortho (CoRR, 2024)