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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>&nbsp;</p> <p>[1] Hegel Pedroza, Gerardo Meza, &amp; 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