Robuta

04/27/17 - Automatic affect recognition is a challenging task due to the various modalities emotions can be expressed with. Applications can ...

Abstract page for arXiv paper 2003.00832v1: An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos

Supporting code for "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild" - albanie/mcnCrossModalEmotions

Emotion decoding accuracy (EDA) plays a central role within the emotional intelligence (EI) ability model. The EI-ability perspective typically assumes...

Previous studies have successfully applied a lightweight recurrent neural network (RNN) called Echo State Network (ESN) for EEG-based emotion recognition. Th...

Emotion recognition and empathy abilities require the integration of contextual information in real-life scenarios. Previous reports have explored these...

Six production-ready models extend SECO’s edge AI portfolio with solutions for visual inspection, human–machine interaction, and predictive maintenance.

Cross-corpus speech emotion recognition (SER) seeks to generalize the ability of inferring speech emotion from a well-labeled corpus to an unlabeled one, which...

The multimodal emotion recognition in conversation task aims to predict the emotion label for a given utterance with its context and multiple modalities....