In this paper, we present our contribution to emotion classifi- cation in speech as part of our participation in Odyssey 2024 challenge.

Jul 17, 2024 · Request PDF | On Jun 18, 2024, Adrien Lafore and others published IRIT-MFU Multi-modal systems for emotion classification for Odyssey 2024 ...

In this paper, we present our contribution to emotion classifi- cation in speech as part of our participation in Odyssey 2024 challenge.

Categorical Emotion Recognition: The task involves classify- ing each sample into one of eight emotional classes: anger, hap- piness, sadness, fear, surprise, ...

IRIT-MFU Multi-modal systems for emotion classification for Odyssey 2024 challenge (10m). Adrien Lafore (IRIT). Jérôme Farinas (IRIT). Sebastião Quintas (IRIT ...

IRIT-MFU Multi-modal systems for emotion classification for Odyssey 2024 challenge. 296-302. view. electronic edition via DOI (open access) · references ...

May 30, 2024 · In this paper, we present our contribution to emotion classifi- cation in speech as part of our participation in Odyssey 2024 challenge.

... MFU Multi-modal systems for emotion classification for Odyssey 2024 challenge. In The Speaker and Language Recognition Workshop (Odyssey 2024) 2024 (pp. 296 ...

This study introduces an advanced methodology for the Empathic Virtual Agent Challenge (EVAC), utilizing state-of-the-art speech, language, and image models.

Publications (1). IRIT-MFU Multi-modal systems for emotion classification for Odyssey 2024 challenge · Conference Paper. June 2024. ·. 4 Reads. Adrien Lafore.