3 papers
eess.AS2025
EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition
Hugo Thimonier, Antony Perzo, Renaud Seguier
Emotion recognition from speech is a challenging task that requires capturing both linguistic and paralinguistic cues, with critical applications in human-computer interaction and…
cs.CV2024
LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space
Matthieu Delmas, Renaud Seguier
The classification of forged videos has been a challenge for the past few years. Deepfake classifiers can now reliably predict whether or not video frames have been tampered with.…
cs.SD2024
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok, Simon Leglaive, Laurent Girin +2
In this paper, we present a multimodal and dynamical VAE (MDVAE) applied to unsupervised audio-visual speech representation learning. The latent space is structured to dissociate t…