Speech Communication - Special issue on speech under stress
Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
An introduction to variable and feature selection
The Journal of Machine Learning Research
Cognition, Technology and Work
Animating an interactive conversational character for an educational game system
Proceedings of the 10th international conference on Intelligent user interfaces
Evaluating affective interfaces: innovative approaches
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Measuring multiple components of emotions in interactive contexts
CHI '06 Extended Abstracts on Human Factors in Computing Systems
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
Audio-visual emotion recognition in adult attachment interview
Proceedings of the 8th international conference on Multimodal interfaces
How emotion is made and measured
International Journal of Human-Computer Studies
Ensemble methods for spoken emotion recognition in call-centres
Speech Communication
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Achieving empathic engagement through affective interaction with synthetic characters
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Real-Life emotion representation and detection in call centers data
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Piecing together the emotion jigsaw
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Grounding emotions in human-machine conversational systems
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
Harmonic model for female voice emotional synthesis
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Detecting emotional state of a child in a conversational computer game
Computer Speech and Language
Enhancing emotion recognition from speech through feature selection
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Affect recognition in real life scenarios
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Cultural dependency analysis for understanding speech emotion
Expert Systems with Applications: An International Journal
A knowledge-based system approach for a context-aware system
Knowledge-Based Systems
The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions
Language Resources and Evaluation
| Hi-index | 0.00 |
In this paper, we study the impact of considering context information for the annotation of emotions. Concretely, we propose the inclusion of the history of user-system interaction and the neutral speaking style of users. A new method to automatically include both sources of information has been developed making use of novel techniques for acoustic normalization and dialogue context annotation. We have carried out experiments with a corpus extracted from real human interactions with a spoken dialogue system. Results show that the performance of non-expert human annotators and machine-learned classifications are both affected by contextual information. The proposed method allows the annotation of more non-neutral emotions and yields values closer to maximum agreement rates for non-expert human annotation. Moreover, automatic classification accuracy improves by 29.57% compared to the classical approach based only on acoustic features.