Neural Grey-Box Guitar Amplifier Modelling With Limited Data
Loading...
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2023-09-04
Major/Subject
Mcode
Degree programme
Language
en
Pages
8
151-158
151-158
Series
Proceedings of the 26th International Conference on Digital Audio Effects (DAFx23), Proceedings of the International Conference on Digital Audio Effects
Abstract
This paper combines recurrent neural networks (RNNs) with the discretised Kirchhoff nodal analysis (DK-method) to create a grey-box guitar amplifier model. Both the objective and subjective results suggest that the proposed model is able to outperform a baseline black-box RNN model in the task of modelling a guitar amplifier, including realistically recreating the behaviour of the amplifier equaliser circuit, whilst requiring significantly less training data. Furthermore, we adapt the linear part of the DK-method in a deep learning scenario to derive multiple state-space filters simultaneously. We frequency sample the filter transfer functions in parallel and perform frequency domain filtering to considerably reduce the required training times compared to recursive state-space filtering. This study shows that it is a powerful idea to separately model the linear and nonlinear parts of a guitar amplifier using supervised learning.Description
Keywords
Audio signal processing, deep learning, digital filter design
Other note
Citation
Miklanek, S, Wright, A, Välimäki, V & Schimmel, J 2023, Neural Grey-Box Guitar Amplifier Modelling With Limited Data . in F Fontana & S Willemsen (eds), Proceedings of the 26th International Conference on Digital Audio Effects (DAFx23) . Proceedings of the International Conference on Digital Audio Effects, Aalborg University, Copenhagen, Denmark, pp. 151-158, International Conference on Digital Audio Effects, Copenhagen, Denmark, 04/09/2023 .