A Review of Neural Network-Based Emulation of Guitar Amplifiers
hal.structure.identifier | Université de Bordeaux [UB] | |
hal.structure.identifier | Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL] | |
dc.contributor.author | VANHATALO, Tara | |
hal.structure.identifier | Université de Bordeaux [UB] | |
hal.structure.identifier | Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | LEGRAND, Pierrick | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | DESAINTE-CATHERINE, Myriam | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | HANNA, Pierre | |
hal.structure.identifier | Orosys | |
dc.contributor.author | BRUSCO, Antoine | |
hal.structure.identifier | Orosys | |
dc.contributor.author | PILLE, Guillaume | |
hal.structure.identifier | Centre National de la Recherche Scientifique [CNRS] | |
hal.structure.identifier | Studio de Création et de Recherche en Informatique et Musique Électroacoustique [SCRIME] | |
hal.structure.identifier | Université de Bordeaux [UB] | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Orosys | |
dc.contributor.author | BAYLE, Yann | |
dc.date.accessioned | 2024-04-04T02:37:29Z | |
dc.date.available | 2024-04-04T02:37:29Z | |
dc.date.issued | 2022-06 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/190798 | |
dc.description.abstractEn | Vacuum tube amplifiers present sonic characteristics frequently coveted by musicians, that are often due to the distinct nonlinearities of their circuits, and accurately modelling such effects can be a challenging task. A recent rise in machine learning methods has lead to the ubiquity of neural networks in all fields of study including virtual analog modelling. This has lead to the appearance of a variety of architectures tailored to this task. This article aims to provide an overview of the current state of the research in neural emulation of analog distortion circuits by first presenting preceding methods in the field and then focusing on a complete review of the deep learning landscape that has appeared in recent years, detailing each subclass of available architectures. This is done in order to bring to light future possible avenues of work in this field. | |
dc.language.iso | en | |
dc.publisher | Multidisciplinary digital publishing institute (MDPI) | |
dc.subject.en | audio signal processing | |
dc.subject.en | nonlinear modelling | |
dc.subject.en | deep learning | |
dc.subject.en | audio effects modelling | |
dc.subject.en | virtual analog modelling | |
dc.subject.en | neural network | |
dc.subject.en | modelling nonlinear audio effects | |
dc.subject.en | distortion effects | |
dc.subject.en | electric musical instruments | |
dc.title.en | A Review of Neural Network-Based Emulation of Guitar Amplifiers | |
dc.type | Article de revue | |
dc.identifier.doi | 10.3390/app12125894 | |
dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | |
bordeaux.journal | Applied Sciences | |
bordeaux.page | 5894 | |
bordeaux.volume | 12 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | 12 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-03881859 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-03881859v1 | |
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