Featured Dataset
ToneTwist AFx Dataset: Audacity Effect – Reverb
Settings Setting Value Room size<
File Size441.1 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views34
Total Downloads9
Settings
| Setting | Value |
|---|---|
| Room size | 30% |
| Pre-delay | 10 ms |
| Reverberance | 50% |
| Damping | 50% |
| Tone Low | 50% |
| Tone High | 100% |
| Wet Gain | -1 dB |
| Dry Gain | -1 dB |
| Stereo Width | 100% |
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)
https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html - IDMT-SMT-GUITAR – dataset 4 – Career SG (6:08 min)
https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html - IDMT-SMT-GUITAR – dataset 4 – Ibanez 2820 (5:14 min)
https://www.idmt.fraunhofer.de/en/publications/datasets/guitar.html - IDMT-SMT-Bass-Single-Track (5:58 min)
https://www.idmt.fraunhofer.de/en/publications/datasets/bass_lines.html - NAM: Neural Amp Modeler (3:11 min)
https://github.com/sdatkinson/neural-amp-modeler - 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 -6 dBFS
- NAM:
- No pre-processing
- Others:
- Peak normalized to -0.1 dBFS
- Signal multiplied by a random number every 5 seconds
(uniform distribution [0.1, 1.0] = [-20 dB, 0 dB])
Authors
William Grimshaw
University of Surrey
https://www.surrey.ac.uk
GitHub
https://github.com/mcomunita/audio-effects-dataset
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Files are hosted on the source repository. Click download to access the full dataset.
Grimshaw, William (2026). ToneTwist AFx Dataset: Audacity Effect – Reverb. https://doi.org/10.5281/zenodo.20213970