Speech recognition by machines and humans
Speech Communication
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
Emotive alert: HMM-based emotion detection in voicemail messages
Proceedings of the 10th international conference on Intelligent user interfaces
Affective multimodal human-computer interaction
Proceedings of the 13th annual ACM international conference on Multimedia
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
ASR for emotional speech: Clarifying the issues and enhancing performance
Neural Networks - Special issue: Emotion and brain
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
User Modeling and User-Adapted Interaction
Discriminative parameter learning for Bayesian networks
Proceedings of the 25th international conference on Machine learning
Automatic Classification of Expressiveness in Speech: A Multi-corpus Study
Speaker Classification II
'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
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emotion recognition from speech: Putting ASR in the loop
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Image and Vision Computing
Computer Speech and Language
Benefits of subliminal feedback loops in human-computer interaction
Advances in Human-Computer Interaction - Special issue on subliminal communication in human-computer interaction
Applying nonlinear dynamics features for speech-based fatigue detection
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Detecting fatigue from steering behaviour applying continuous wavelet transform
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
On the impact of children's emotional speech on acoustic and language models
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on atypical speech
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
Constrained wiki: the Wikiway to validating content
Advances in Human-Computer Interaction
Shape-based modeling of the fundamental frequency contour for emotion detection in speech
Computer Speech and Language
Compensating for speaker or lexical variabilities in speech for emotion recognition
Speech Communication
Continuous emotion recognition with phonetic syllables
Speech Communication
Medium-term speaker states-A review on intoxication, sleepiness and the first challenge
Computer Speech and Language
| Hi-index | 0.00 |
We deal with the topic of segmenting emotion-related (emotional/affective) episodes into adequate units for analysis and automatic processing/classification--a topic that has not been addressed adequately so far. We concentrate on speech and illustrate promising approaches by using a database with children's emotional speech. We argue in favour of the word as basic unit and map sequences of words on both syntactic and "emotionally consistent" chunks and report classification performances for an exhaustive modelling of our data by mapping word-based paralinguistic emotion labels onto three classes representing valence (positive, neutral, negative), and onto a fourth rest (garbage) class.