Dataset Open Access

Modeling plate and spring reverberation using a DSP-informed deep neural network

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

Data manager(s)
Moro, Giulio

Accompanying audio samples for the paper:

Martínez Ramírez M. A., Benetos, E. and Reiss J. D., “Modeling plate and spring reverberation using a DSP-informed deep neural network” in the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

Dry and wet bass and guitar recordings.

Bass and Guitar 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

Plate Reverb - Bass - recordings are taken from the IDMT-SMT-Audio-Effects dataset. Plate settings are the following:

  • Smaertelectronix ambience: ’Gating Amount - 0’, ’Gating Attack" - 10 ms’, ’Gating Release - 10 ms’, ’Decay Time - 2225 ms’, ’Decay Diffusion - 50%’, ’Decay Hold - off’, ’Shape Size - 16%’, ’Shape Predelay - 0 ms’, ’Shape Width - 100%’, ’Shape Quality - 100%’, ’Shape Variation - 0’, ’EQ Bass Frequency - 43 Hz’, ’EQ Bass Gain - −7.8 dB’, ’EQ Treble Frequency - 5044 Hz’, ’EQ Treble Gain - −3.7 dB’, ’Damping Bass Frequency - 158 Hz’, ’Damping Bass Amount - 87%’, ’Damping Treble Frequency - 8127 Hz’, ’Damping Treble Amount - 32%’, ’Dry - −Inf’, ’Wet - 0dB’.

Spring Reverb - Bass and Guitar - recorded from the spring reverb tank: Accutronics 4EB2C1B: ’Dry Mix - 0%’, ’Wet Mix - 100%’

Plate reverb samples correspond to a VST audio plug-in, while spring reverb samples are recorded using an analog reverb tank which is based on 2 springs placed in parallel.

The recordings are downsampled to 16 kHz. Also, since the plate reverb samples have a fade-out applied in the last 0.5 seconds of the recordings, we process the spring reverb samples accordingly.

Files (504.4 MB)
Name Size
plate-spring.zip
md5:52b45dadf1642184a982f4e6ea060801
504.4 MB Download
21
3
views
downloads
All versions This version
Views 2121
Downloads 33
Data volume 1.5 GB1.5 GB
Unique views 1919
Unique downloads 33

Share

Cite as