Samir Sadok

According to our database, Samir Sadok authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecs.

Samir Sadok, Laurent Girin, Xavier Alameda-Pineda

CoRR, February, 2026

Residual Tokens Enhance Masked Autoencoders for Speech Modeling.

Samir Sadok, Stéphane Lathuilière, Xavier Alameda-Pineda

CoRR, January, 2026

2025

A vector quantized masked autoencoder for audiovisual speech emotion recognition.

Samir Sadok, Simon Leglaive, Renaud Séguier

Comput. Vis. Image Underst., 2025

Bringing Interpretability to Neural Audio Codecs.

Samir Sadok, Julien Hauret, Éric Bavu

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder.

Samir Sadok, Simon Leglaive, Laurent Girin, Gaël Richard, Xavier Alameda-Pineda

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

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

Samir Sadok

PhD thesis, 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

Can AI Decode the Circumplex Model of Affect? A Data-driven Study.

Amdjed Belaref, Samir Sadok, Karim M. Ibrahim, Zineb Noumir, Renaud Séguier

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

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., March, 2023

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition.

Samir Sadok, Simon Leglaive, Renaud Séguier

Proceedings of the IEEE International Conference on Acoustics, 2023