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” submitted to the Applied Sciences:       Acoustics and Vibration - Digital Audio Effects special issue, December,       2019.

View the source code on GitHub

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

 

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