Published March 28, 2024
| Version 1.0
Dataset
Open
ToneTwist AFx Dataset: Dry with markers
Authors/Creators
Description
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 this dataset, please cite the following publications:
@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},
}
Files
DRY-with-markers.zip
Files
(865.9 MB)
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Additional details
Funding
- UK Research and Innovation
- UKRI Centre for Doctoral Training in Artificial Intelligence and Music EP/S022694/1