How to use our public wav2vec2 dimensional emotion model
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Updated
May 22, 2023 - Jupyter Notebook
How to use our public wav2vec2 dimensional emotion model
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
A unified dataset of multilingual emotional human utterances
Multilingual datasets with raw audio for speech emotion recognition
Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design
DANTE (Dimensional ANnotation Tool for Emotions) is an emotional annotation tool to annotate any kind of video in terms of valence and arousal continuous dimensions.
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
A Unimodal Valence-Arousal Driven Contrastive Learning Framework for Multimodal Multi-Label Emotion Recognition (ACM MM 2024 oral)
Visualization of mesh simplification using the partitioning (grid structure) or adaptive (octree structure) method.
Predicting musical valence of Spotify songs using PyTorch.
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