Instance-Based Learning Algorithms
Machine Learning
Original Contribution: Stacked generalization
Neural Networks
The nature of statistical learning theory
The nature of statistical learning theory
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
Recognition of Affective Communicative Intent in Robot-Directed Speech
Autonomous Robots
How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
How to find trouble in communication
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
Emotion Recognition and Its Application to Computer Agents with Spontaneous Interactive Capabilities
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Recognizing low/high anger in speech for call centers
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
On the Use of Kappa Coefficients to Measure the Reliability of the Annotation of Non-acted Emotions
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Two-Level Fusion to Improve Emotion Classification in Spoken Dialogue Systems
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Comparing emotions using acoustics and human perceptual dimensions
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Comparison of Classification Methods for Detecting Emotion from Mandarin Speech
IEICE - Transactions on Information and Systems
Spectrum Modification for Emotional Speech Synthesis
Multimodal Signals: Cognitive and Algorithmic Issues
Recognition of Emotions in German Speech Using Gaussian Mixture Models
Multimodal Signals: Cognitive and Algorithmic Issues
NMF features for speech emotion recognition
Proceedings of the 2009 International Conference on Hybrid Information Technology
Emotion recognition from speech signals using new harmony features
Signal Processing
Detecting emotional state of a child in a conversational computer game
Computer Speech and Language
F2 -- new technique for recognition of user emotional states in spoken dialogue systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Spoken emotion recognition using hierarchical classifiers
Computer Speech and Language
Segment-based emotion recognition from continuous Mandarin Chinese speech
Computers in Human Behavior
Formant position based weighted spectral features for emotion recognition
Speech Communication
Multiple feature extraction and hierarchical classifiers for emotions recognition
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Elastic net for paralinguistic speech recognition
Proceedings of the 14th ACM international conference on Multimodal interaction
Cross-validation of bimodal health-related stress assessment
Personal and Ubiquitous Computing
Gender-dependent emotion recognition based on HMMs and SPHMMs
International Journal of Speech Technology
Dimensionality reduction-based spoken emotion recognition
Multimedia Tools and Applications
International Journal of Speech Technology
Class-specific multiple classifiers scheme to recognize emotions from speech signals
Computer Speech and Language
Exploiting Psychological Factors for Interaction Style Recognition in Spoken Conversation
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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Machine-based emotional intelligence is a requirement for more natural interaction between humans and computer interfaces and a basic level of accurate emotion perception is needed for computer systems to respond adequately to human emotion. Humans convey emotional information both intentionally and unintentionally via speech patterns. These vocal patterns are perceived and understood by listeners during conversation. This research aims to improve the automatic perception of vocal emotion in two ways. First, we compare two emotional speech data sources: natural, spontaneous emotional speech and acted or portrayed emotional speech. This comparison demonstrates the advantages and disadvantages of both acquisition methods and how these methods affect the end application of vocal emotion recognition. Second, we look at two classification methods which have not been applied in this field: stacked generalisation and unweighted vote. We show how these techniques can yield an improvement over traditional classification methods.