A Vector Quantized Masked Autoencoder for Speech Emotion Recognition. - Samir Sadok; Simon Leglaive; Renaud Séguier (ICASSP Workshops, 2023)

Learning and controlling the source-filter representation of speech with a variational autoencoder. - Samir Sadok; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda; Renaud Séguier (Speech Commun., 2023)

Can AI Decode the Circumplex Model of Affect? A Data-driven Study. - Amdjed Belaref; Samir Sadok; Karim M. Ibrahim; Zineb Noumir; Renaud Séguier (ICPR (Workshops and Challenges, 1), 2024)

A multimodal dynamical variational autoencoder for audiovisual speech representation learning. - Samir Sadok; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda; Renaud Séguier (Neural Networks, 2024)

Audiovisual speech representation learning applied to emotion recognition. (Apprentissage de représentation de la parole audiovisuelle pour la reconnaissance des émotions). - Samir Sadok (2024)

AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder. - Samir Sadok; Simon Leglaive; Laurent Girin; Gaël Richard; Xavier Alameda-Pineda (ICASSP, 2025)

A vector quantized masked autoencoder for audiovisual speech emotion recognition. - Samir Sadok; Simon Leglaive; Renaud Séguier (Comput. Vis. Image Underst., 2025)