BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Knowledge Discovery in Multi-label Phenotype Data
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Application of Temporal Descriptors to Musical Instrument Sound Recognition
Journal of Intelligent Information Systems
MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
Music emotion recognition: the role of individuality
Proceedings of the international workshop on Human-centered multimedia
Quality assessment of k-NN multi-label classification for music data
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
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Investigating subjective values of audio data is both interesting and pleasant topic for research, gaining attention and popularity among researchers recently. We focus on automatic detection of emotions in songs/audio files, using features based on spectral contents. The data set, containing a few hundreds of music pieces, was used in experiments. The emotions are grouped into 13 or 6 classes. We compare our results with tests on human subjects. One of the main conclusions is that multi-label classification is required.