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We have constructed a poker classification system which makes informed betting decisions based upon three defining features extracted while playing poker: hand value, risk, and aggressiveness. The system is implemented as a poker player agent, and as such, the goals of the classifier are not only to correctly determine whether each hand should be folded,(More)
Audio signal classification consists of extracting physical and perceptual features from a sound, and of using these features to identify into which of a set of classes the sound is most likely to fit. The feature extraction and classification algorithms used can be quite diverse depending on the classification domain of the application. This paper presents(More)
In this paper we will report on the use of real-time sound spatialization in Challenging Bodies, a trans-disciplinary performance project at the University of Regina. Using well-understood spatialization techniques mapped to a custom interface, a computer system was built that allowed live spatial control of ten sound signals from on-stage performers. This(More)
Audio signal classiication consists of extracting physical and perceptual features from a sound, and of using these features to identify into which of a set of classes the sound is most likely to t. The feature extraction and classiication algorithms used can be quite diverse depending on the classiication domain of the application. This paper presents an(More)
There are several modern methods to visualize sounds, from oscilloscope and spectrometer to colour organs and strobe lights. Phase space is a relatively new way to visualize sounds. Originally used to better understand the chaos of strange attractors and other non-periodic systems, it can be used to observe the regularity of periodic and pseudo-periodic(More)