Deep Learning for Black-Box Modeling of Audio Effects

<p>Accompanying audio samples for the paper:</p> <p>Mart&iacute;nez Ram&iacute;rez M. A., Benetos, E. and Reiss J. D., &ldquo;Deep Learning for Black-Box Modeling of Audio Effects&rdquo; submitted to the Applied Sciences:&nbsp; Acoustics and Vibration - Digital Audio Effects special issue, December, 2019.</p> <p>Dry and wet bass and guitar recordings.</p> <p>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</p> <p>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.</p>