emvoice
A Python package for computing emotion expression-related features from speech signals.
Multimodal Emotion Expression Capture Amsterdam
When politicians speak, their choice of words, their facial expressions and even the pitch of their voice communicates specific emotions to us. These emotions may influence how we think about that politician or the message she seeks to convey. Politicians differ in how they use their words, their voice and their face: they have a different emotion repertoire.
To capture this repertoire we propose MEXCA: a system that integrates different existing software solutions to capture the emotion conveyed in words, voice and face in one efficient, reliable and accessible workflow. This allows us to address questions about how politicians use emotion, how intentional it is and how systematically it is employed. The system may also be used outside of the domain of politics to study emotion expression in general.
Vocalisations of Disgust across Behavioural Contexts: A Computational Analysis
Multilingual and Multipurpose Entity Linking Toolkit
A machine learning approach
Advancing technology for multimodal analysis of emotion expression in everyday life
A Python package for computing emotion expression-related features from speech signals.
Capture emotion expressions from video, audio, and text with a single pipeline.