Monophonic Electric Guitar Notes to Train a Timbre Generation VAE
<p>This dataset contains a subset of audio files from the <a href="../doi/10.5281/zenodo.11398029" target="_blank" rel="noopener">SemanticTimbreDataset</a> that were used to train a Timbre Generation VAE.</p> <p>Files are organised as follows: Timbre_Group/Timbre_Descriptor/Timbre_Magnitude.</p> <p>The audio files with a timbre magnitude of 0 in the OscillationFX/Fluttery directory are monophonic electric guitar notes recorded from a Fender Stratocaster originally sourced from the EGFxSet [1]. All other audio files are those original clean samples processed through various guitar pedals affecting the sounds at various intensities (timbre magnitude). Each guitar pedal's effect can be described by a separate timbre descriptor. This training dataset contains 19 timbre descriptor groups in total, where each timbre descriptor group contains audio files with timbre magnitudes of 25, 50, 75, and 100.</p> <p> </p> <p>[1] Hegel Pedroza, Gerardo Meza, & Iran R. Roman. (2022). EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7044411</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4