ToneTwist AFx Dataset: Amplitube DComp

Settings

Output
Sensitivity

-14dB
10

Dry with markers

Dry inputs are a selection of clean guitar and bass recordings from different sources:

IDMT-SMT-GUITAR - dataset 2 (7:23 min)

IDMT-SMT-GUITAR - dataset 4 - Career SG (6:08 min)

IDMT-SMT-GUITAR - dataset 4 - Ibanez 2820 (5:14 min)

IDMT-SMT-Bass-Single-Track - (5:58 min)

NAM: Neural Amp Modeler - (3:11 min)

Private Guitar Data - (5:19 min)

YouTube Bass Recordings - (10:09 min)

Pre-processing:

All:

synchronization markers (2 impulses) added at start and end of every file

IDMT-SMT-GUITAR - dataset 2:

peak normalized to -6dBFS

NAM:

no pre-processing

Others:

peak normalized to -0.1dBFS

signal multiplied by random number every 5 seconds (uniform distribution [0.1, 1.0] = [-20dB, 0dB])

Authors

Marco Comunità - Centre for Digital Music, Queen Mary University of London

Github

https://github.com/mcomunita/tonetwist-afx-dataset

Reference

If you make use of AUDIO-EFFECTS-DATASET, please cite the following publication:

@misc{comunità2025nablafxframeworkdifferentiableblackbox,
title={NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects},
author={Marco Comunità and Christian J. Steinmetz and Joshua D. Reiss},
year={2025},
eprint={2502.11668},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2502.11668},
}