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Poster (Scientific congresses and symposiums)
Nonlinear Real-Time Emulation of a Tube Amplifier with a Long Short Term Memory Neural-Network
Schmitz, Thomas; Embrechts, Jean-Jacques
2018144th convention of the audio engineering society
 

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Keywords :
real time emulation; neural network; nonlinear model
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. Their nonlinear behavior requires the use of complex models. We propose to take advantage of the progress made in the field of machine learning to build a new model for such nonlinear audio devices (such as the tube amplifier). This paper specially focuses on the real-time constraints of the model. Modifying the structure of the Long Short Term Memory neural-network has led to a model 10 times faster while keeping a very good accuracy. Indeed, the root mean square error between the signal coming from the tube amplifier and the output of the neural network is around 2%.
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 :
Nonlinear Real-Time Emulation of a Tube Amplifier with a Long Short Term Memory Neural-Network
Alternative titles :
[en] Emulation en temps réel d'un amplificateur à tube avec un réseau de neurones Long Short Term Memory (LSTM)
Publication date :
14 May 2018
Number of pages :
A0
Event name :
144th convention of the audio engineering society
Event place :
Milan, Italy
Event date :
du 23 May to 26 May
Audience :
International
Available on ORBi :
since 17 August 2018

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