TitleNeural networks for simultaneous classification and parameter estimation in musical instrument control
Publication TypeConference Paper
Year of Publication1992
AuthorsLee, MA, Freed, A, Wessel, D
Conference NameAdaptive and Learning Systems
Date Published1992/04/16
Conference LocationOrlando, FL, USA
Abstract

Presents 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/publications/neural_networks_simultaneous_classification_and_parameter_estimation_musical_instrument_control