Deep Learning for Black-Box Modeling of Audio Effects

Accompanying website for the paper:

      Martínez Ramírez M. A., Benetos, E. and Reiss J. D., “Deep Learning for Black-Box Modeling of Audio Effects” Applied Sciences 10, no. 2, p.638, January 2020.

View the source code.

Download the dataset.

Audio samples from the listening test:

Preamp

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Limiter

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Leslie speaker: horn tremolo

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Leslie speaker: woofer tremolo

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Leslie speaker: horn chorale

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Leslie speaker: woofer chorale

- Input

- CAFx

- WaveNet

- CRAFx

- CWAFx

- Reference

 

Please use Mozilla Firefox or Google Chrome. This project is maintained by {{ "Marco Martínez" }}.

 

Citation

@aticle{martinez2020deep,
title={Deep Learning for Black-Box Modeling of Audio Effects},
author={Mart'{i}nez Ram'{i}rez, Marco A and Benetos, Emmanouil and Reiss, Joshua D},
journal={Applied Sciences},
volume={10},
number={2},
pages={638},
month={January},
year={2020},
publisher={Multidisciplinary Digital Publishing Institute}
}