Neural Network Synthesizer

Artificial Neural Network
Additive Sound Synthesis
Sound Perception
ANN
Machine Learning
Perceptual Parameters

Perceptually-informed Sound Synthesis

Published

January 1, 2002

Abstract

This work introduces a connectionist model that maps perceptual controllers to synthesis parameters to allow for an intuitive and powerful musical control of audio synthesis. After training on an instrument sound database, the system is able to generate control parameters for additive synthesis from pitch and loudness information only.

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References

Le Groux, Sylvain. 2002. “A Neural Network Principal Component Synthesizer for Expressive Control of Musical Sounds.” DEA Research Report, Berkeley, CA USA: University of California at Berkeley/Paris VI University. http://www.atiam.ircam.fr/Archives/Stages0102/SylvainLegroux.pdf.