33 citations · 98 across the 10 of their papers we have counts for
10 papers
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…
SwimXYZ: A large-scale dataset of synthetic swimming motions and videos
Fiche Guénolé, Sevestre Vincent, Gonzalez-Barral Camila +2
Technologies play an increasingly important role in sports and become a real competitive advantage for the athletes who benefit from it. Among them, the use of motion capture is de…
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…
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.…
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
Mouath Aouayeb, Wassim Hamidouche, Catherine Soladie +2
As various databases of facial expressions have been made accessible over the last few decades, the Facial Expression Recognition (FER) task has gotten a lot of interest. The multi…
Dataset Augmentation and Dimensionality Reduction of Pinna-Related Transfer Functions
Corentin Guezenoc, Renaud Seguier
Efficient modeling of the inter-individual variations of head-related transfer functions (HRTFs) is a key matterto the individualization of binaural synthesis. In previous work, we…
HRTF Individualization: A Survey
Corentin Guezenoc, Renaud Seguier
The individuality of head-related transfer functions (HRTFs) is a key issue for binaural synthesis. While, over the years, a lot of work has been accomplished to propose end-user-f…
A Wide Dataset of Ear Shapes and Pinna-Related Transfer Functions Generated by Random Ear Drawings
Corentin Guezenoc, Renaud Seguier
Head-related transfer functions (HRTFs) individualization is a key matter in binaural synthesis. However, currently available databases are limited in size compared to the high dim…
Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
Anup Anand Deshmukh, Catherine Soladie, Renaud Seguier
Emotion plays a key role in many applications like healthcare, to gather patients emotional behavior. There are certain emotions which are given more importance due to their effect…
Spotting Micro-Expressions on Long Videos Sequences
Jingting Li, Catherine Soladie, Renaud Sguier +2
This paper presents baseline results for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) on SAMM and CAS(ME)2. The proposed LTP patter…