Stochastic resonance: molding sounds from noise
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Sound and Music Computing Network
Abstract
This paper explores the application of stochastic resonance, a phenomenon known for enhancing signal detection through the introduction of random noise or disorder, to sound synthesis and processing. We detail the various models of stochastic resonance described in the literature and introduce a software implementation as an external for Max/MSP. Through a series of examples, including sound synthesis and processing, reducing the signal-to-noise ratio of noisy sounds, and retrieving the missing fundamental, we demonstrate the efficacy and versatility of this approach in molding sounds from noise.
Description
Keywords
Acoustic noise, Background noise, Circuit resonance, Electron resonance, Nuclear magnetic resonance, Signal to noise ratio, Stochastic models, Stochastic systems