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Real Time Emulation of Parametric Guitar Tube Amplifier with Long Short Term Memory Neural Network
Schmitz, Thomas; Embrechts, Jean-Jacques
2018In 4th International Conference on Image Processing and Pattern Recognition (IPPR 2018), Copenhagen, Denmark, April 28~29, 2018
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Keywords :
nonlinear model; neural network; guitar amplifier emulation
Abstract :
[en] Numerous audio systems for musicians are expensive and bulky. Therefore, it could be advantageous to model them and to replace them by computer emulation. In guitar players’ world, audio systems could have a desirable nonlinear behavior (distortion effects). It is thus difficult to find a simple model to emulate them in real time. Volterra series model and its subclass are usual ways to model nonlinear systems. Unfortunately, these systems are difficult to identify in an analytic way. In this paper we propose to take advantage of the new progress made in neural networks to emulate them in real time. We show that an accurate emulation can be reached with less than 1% of root mean square error between the signal coming from a tube amplifier and the output of the neural network. Moreover, the research has been extended to model the Gain parameter of the amplifier.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Schmitz, Thomas ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore)
Embrechts, Jean-Jacques ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Techniques du son et de l'image
Language :
English
Title :
Real Time Emulation of Parametric Guitar Tube Amplifier with Long Short Term Memory Neural Network
Alternative titles :
[fr] Emulation en temps réel d'un amplificateur à tube avec paramètres à l'aide d'un réseau de neurones "Long Short Term Memory (LSTM)"
Publication date :
28 April 2018
Event name :
4th International Conference on Image Processing and Pattern Recognition (IPPR 2018), , April 28~29, 2018
Event organizer :
AIRCC
Event place :
Copenhagen, Denmark
Event date :
28-29 April
Audience :
International
Main work title :
4th International Conference on Image Processing and Pattern Recognition (IPPR 2018), Copenhagen, Denmark, April 28~29, 2018
ISBN/EAN :
978-1-921987-83-0
Peer reviewed :
Peer reviewed
Available on ORBi :
since 17 August 2018

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