Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception.

By Tanja Bänziger, Marcello Mortillaro, Klaus R. Scherer. 2012

437 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Björn Schuller
2. Hatice Gunes
3. Klaus R. Scherer
4. Petri Laukka
5. Carlos Busso
6. Shrikanth S. Narayanan
7. Andrea Cavallaro
8. Laurence Y. Devillers

In Experimental and Cognitive Psychology

1. Björn Schuller
2. Hatice Gunes
3. Florian Eyben
4. Carlos Busso
5. Anton Batliner
6. Stefan Steidl
7. Shrikanth S. Narayanan
8. Maja Pantic

Citations in the corpus

• Emotional Intelligence in Organizations (2014, background): “…accuracy (from the perceiving and expressing emotions branch) present respondents with video recordings, photographs, and/or audio recordings in which targets are expressing various emotions (e.g., Bänziger et al. 2009, Levenson & Ruef 1992; see Bänziger et al. 2012 for a review of these measures).”
• The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013, methodology): “For the Emotion Sub-Challenge we selected the “Geneva Multimodal Emotion Portrayals” (GEMEP) [25].”
• Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2015, background): “One approach is to define a limited set of emotion classes (e.g. relief, contempt) [7].”
• The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2016, background): “[53]) as suggested by [43], [47] and [49] (for GEMEP).”