Validating a multilingual and multimodal affective database

Authors:
Juan Miguel López;Idoia Cearreta;Inmaculada Fajardo;Nestor Garay
Affiliations:
Laboratory of Human-Computer Interaction for Special Needs, Computer Science Faculty, University of the Basque Country, Donostia - San Sebastian;Laboratory of Human-Computer Interaction for Special Needs, Computer Science Faculty, University of the Basque Country, Donostia - San Sebastian;Cognitive Ergonomics Group, Department of Experimental Psychology, University of Granada, Granada;Laboratory of Human-Computer Interaction for Special Needs, Computer Science Faculty, University of the Basque Country, Donostia - San Sebastian
Venue:
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
Year:
2007

Citing 9
Cited 3

Affective computing

Affective computing
The production and recognition of emotions in speech: features and algorithms

International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
2005 Special Issue: Beyond emotion archetypes: Databases for emotion modelling using neural networks

Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Emotion recognition in human-computer interaction

Neural Networks - Special issue: Emotion and brain
ASR for emotional speech: Clarifying the issues and enhancing performance

Neural Networks - Special issue: Emotion and brain
Interdependence between technical web accessibility and usability: its influence on web quality models

International Journal of Web Engineering and Technology
An ontology for description of emotional cues

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Affective computing: a review

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Feature subset selection based on evolutionary algorithms for automatic emotion recognition in spoken spanish and standard basque language

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

A comparison using different speech parameters in the automatic emotion recognition using feature subset selection based on evolutionary algorithms

TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Application of feature subset selection based on evolutionary algorithms for automatic emotion recognition in speech

NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Affective data acquisition technologies in survey research

Information Technology and Management - Special issue on New Theories and Methods for Technology Adoption Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper summarizes the process of validating RekEmozio, a multilingual (Spanish and Basque) and multimodal (audio and video) affective database. Fifty-seven participants validated a sample of 2,618 videos of facial expressions and 102 utterances in the database. The results replicated previous findings of no significant differences in recognition rates among emotions. This validation has allowed having the audio and video material in the database classified in terms of the emotional category expressed. This normative data has proven to be useful for both training affective recognizers and synthesizers and carrying out empirical studies on emotions by psychologists.