Floating search methods in feature selection
Pattern Recognition Letters
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Describing the emotional states that are expressed in speech
Speech Communication - Special issue on speech and emotion
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
The role of voice quality in communicating emotion, mood and attitude
Speech Communication - Special issue on speech and emotion
Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
The production and recognition of emotions in speech: features and algorithms
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Emotive alert: HMM-based emotion detection in voicemail messages
Proceedings of the 10th international conference on Intelligent user interfaces
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
User Modeling and User-Adapted Interaction
Incremental learning for spoken affect classification and its application in call-centres
International Journal of Intelligent Systems Technologies and Applications
Automatic Classification of Expressiveness in Speech: A Multi-corpus Study
Speaker Classification II
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
'You are Sooo Cool, Valentina!' Recognizing Social Attitude in Speech-Based Dialogues with an ECA
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
What Should a Generic Emotion Markup Language Be Able to Represent?
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Emotion recognition from speech by combining databases and fusion of classifiers
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Spoken emotion recognition using hierarchical classifiers
Computer Speech and Language
Affective speaker state analysis in the presence of reverberation
International Journal of Speech Technology
Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
ACM Transactions on Speech and Language Processing (TSLP)
Achieving rapport with turn-by-turn, user-responsive emotional coloring
Speech Communication
A multitask approach to continuous five-dimensional affect sensing in natural speech
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
Detecting changing emotions in natural speech
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Paralinguistics in speech and language-State-of-the-art and the challenge
Computer Speech and Language
Vocal markers of emotion: Comparing induction and acting elicitation
Computer Speech and Language
Speaker state recognition using an HMM-based feature extraction method
Computer Speech and Language
Ten recent trends in computational paralinguistics
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Modeling users' mood state to improve human-machine-interaction
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Image and Vision Computing
Dimensionality reduction-based spoken emotion recognition
Multimedia Tools and Applications
Fusion of fragmentary classifier decisions for affective state recognition
MPRSS'12 Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Hierarchical emotion classification using genetic algorithms
Proceedings of the Fourth Symposium on Information and Communication Technology
Detecting changing emotions in human speech by machine and humans
Applied Intelligence
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In this article, we describe and interpret a set of acoustic and linguistic features that characterise emotional/emotion-related user states - confined to the one database processed: four classes in a German corpus of children interacting with a pet robot. To this end, we collected a very large feature vector consisting of more than 4000 features extracted at different sites. We performed extensive feature selection (Sequential Forward Floating Search) for seven acoustic and four linguistic types of features, ending up in a small number of 'most important' features which we try to interpret by discussing the impact of different feature and extraction types. We establish different measures of impact and discuss the mutual influence of acoustics and linguistics.