MEXCA

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.

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center
University of Amsterdam

Output

Team

GS
Gijs Schumacher
Principal investigator
University of Amsterdam
CP
Christian Pipal
Malte Lüken
Malte Lüken
Research Software Engineer
Netherlands eScience Center
Eva Viviani
Research Software Engineer
Netherlands eScience Center
Jisk Attema
Programme Manager
Netherlands eScience Center
Kody Moodley
Research Software Engineer
Netherlands eScience Center
Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center
Elena Ranguelova
Elena Ranguelova
Tech Lead
Netherlands eScience Center

Related projects

Vocalisations of Disgust

Vocalisations of Disgust across Behavioural Contexts: A Computational Analysis

Updated 10 months ago
Finished

REL 2.0

Multilingual and Multipurpose Entity Linking Toolkit

Updated 6 months ago
Finished

Different kinds of laughter

A machine learning approach

Updated 24 months ago
Finished

Emotion Recognition in Dementia

Advancing technology for multimodal analysis of emotion expression in everyday life

Updated 24 months ago
Finished

Related software

emvoice

EM

A Python package for computing emotion expression-related features from speech signals.

Updated 6 months ago
1

mexca

ME

Capture emotion expressions from video, audio, and text with a single pipeline.

Updated 9 months ago
4 5