8 citations · 8 across the 3 of their papers we have counts for
3 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 vector quantized masked autoencoder for speech emotion recognition
Samir Sadok, Simon Leglaive, Renaud Séguier
Recent years have seen remarkable progress in speech emotion recognition (SER), thanks to advances in deep learning techniques. However, the limited availability of labeled data re…