Stochastic resonance: molding sounds from noise

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dc.catalogadorvzp
dc.contributor.authorGutiƩrrez, Esteban
dc.contributor.authorCadiz Cadiz, Rodrigo Fernando
dc.date.accessioned2026-01-16T14:33:16Z
dc.date.available2026-01-16T14:33:16Z
dc.date.issued2024
dc.description.abstractThis 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.
dc.fechaingreso.objetodigital2026-01-16
dc.format.extent7 pƔginas
dc.fuente.origenSCOPUS
dc.identifier.isbn978-989352075-8
dc.identifier.issn2518-3672
dc.identifier.scopusidSCOPUS_ID:105000360852
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/107725
dc.information.autorucInstituto de MĆŗsica
dc.language.isoen
dc.pagina.final514
dc.pagina.inicio508
dc.publisherSound and Music Computing Network
dc.revistaProceedings of the Sound and Music Computing Conferences
dc.subjectAcoustic noise
dc.subjectBackground noise
dc.subjectCircuit resonance
dc.subjectElectron resonance
dc.subjectNuclear magnetic resonance
dc.subjectSignal to noise ratio
dc.subjectStochastic models
dc.subjectStochastic systems
dc.subject.ddc620
dc.titleStochastic resonance: molding sounds from noise
dc.typecomunicaciĆ³n de congreso
sipa.codpersvinculados4402
sipa.trazabilidadSCOPUS;2025-04-20
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