Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
ICMAI '02 Proceedings of the Second International Conference on Music and Artificial Intelligence
An introduction to variable and feature selection
The Journal of Machine Learning Research
MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
Abstract sounds and their applications in audio and perception research
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
Analyzing sound tracings: a multimodal approach to music information retrieval
MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
A statistical approach to analyzing sound tracings
CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
Perceptual control of environmental sound synthesis
CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
Perceptual characterization of motion evoked by sounds for synthesis control purposes
ACM Transactions on Applied Perception (TAP)
Effects of spectral features of sound on gesture type and timing
GW'11 Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication
Analyzing correspondence between sound objects and body motion
ACM Transactions on Applied Perception (TAP)
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The current study is part of a larger project aiming at offering intuitive mappings of control parameters piloting synthesis models by semantic descriptions of sounds, i.e. simple verbal labels related to various feelings, emotions, gestures or motions. Hence, this work is directly related to the general problem of semiotics of sounds. We here put a special interest in sounds evoking different perceived motions. In this paper, the experimental design of the listening tests is described and the results obtained from behavioural data are discussed. Then a set of signal descriptors is compared to categories using feature selection methods. A special interest is given to applications for sound synthesis.