Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Elements of information theory
Elements of information theory
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Detection and modeling of transient audio signals with prior information
Detection and modeling of transient audio signals with prior information
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
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Studies in crossmodal perception often use very simplified auditory and visual contexts. While these studies have been theoretically valuable, it is sometimes difficult to see how the findings can be ecologically valid or practically valuable. This study hypothesizes that a musical parameter (tempo) may affect the perception of a human movement quality (speed) and finds that although there are clear limitations, this may be a promising first step towards widening both the contexts in which cross-modal effects are studied and the application areas in which the findings can be used.