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Neural networks for simultaneous classification and parameter estimation in musical instrument control

Mon, 09/21/2009 - 11:57 — AdrianFreed
TitleNeural networks for simultaneous classification and parameter estimation in musical instrument control
Publication TypeConference Paper
Year of Publication1992
AuthorsLee, Michael, Freed Adrian, and Wessel David
Conference NameAdaptive and Learning Systems
Date Published1992/04/16
Conference LocationOrlando, FL, USA
AbstractPresents tools for prototyping adaptive user interfaces in the context of real-time musical instrument control. Characteristics of most human communication is the simultaneous use of classified events and estimated parameters. We have integrated a neural network object into the MAX language to explore adaptive user interfaces that considers these facets of human communication. By placing the neural processing in the context of a flexible real-time musical programming environment, we can rapidly prototype experiments on applications of adaptive interfaces and learning systems to musical problems. We have trained networks to recognize gestures from a Mathews ratio baton, Nintendo Power Glove, and MIDI keyboard gestural input devices. We discuss network architectures, low-level features extracted for the networks to operate on, training methods and musical applications of adaptive techniques
URLhttp://cnmat.berkeley.edu/publication/neural_networks_simultaneous_classification_and_parameter_estimation_musical_instrument_control
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