Dataset Open Access

Deep Learning for Black-Box Modeling of Audio Effects

Martinez Ramirez, Marco A; Benetos, Emmanouil; Reiss, Joshua D

Other(s)
Moro, Giulio

Accompanying audio samples 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.

Dry and wet bass and guitar recordings.

Dry notes are taken from the IDMT-SMT-Audio-Effects dataset. Author: Michael Stein (Fraunhofer IDMT) https://www.idmt.fraunhofer.de/en/business_units/m2d/smt/audio_effects.html

Wet notes are recorded from the limiter and preamplifier of a Universal Audio 6176 Vintage Channel Strip and from the horn and woofer of a 145 Leslie speaker cabinet.

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