Open Dataset for Modeling Nonlinear Systems for Electric Guitar
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00383582" target="_blank" >RIV/68407700:21230/25:00383582 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383" target="_blank" >https://doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383" target="_blank" >10.1109/RADIOELEKTRONIKA65656.2025.11008383</a>
Alternative languages
Result language
angličtina
Original language name
Open Dataset for Modeling Nonlinear Systems for Electric Guitar
Original language description
A robust representative dataset is a critical component in proper training of any neural network. In this paper, we present a dataset designed specifically for training models of nonlinear systems relevant to electric guitar, including distortion effects and amplifiers. Our dataset, which reflects developments in the design of electric guitars, is carefully selected and ready for further extension using readily available commercial recording equipment. The introduced dataset consists of source audio signals recorded on several guitars and short synthesized samples, and corresponding output signals from several systems at several setting combinations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Radioelektronika 2025
ISBN
979-8-3315-4447-8
ISSN
2993-2165
e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Brussels
Event location
Hnanice
Event date
May 12, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001509603700011