GUITAR-FX-DIST: A Dataset of Processed Guitar Recordings for Music Research - (Mono Continuous)

GUITAR-FX-DIST is a dataset of electric guitar recordings processed with overdrive, distortion, and fuzz audio effects. It was developed for research in guitar effects detection, classification, and parameters estimation. The dataset is also useful for research on automatic music transcription, intelligent music production, signal processing, or effects modelling. It contains both unprocessed and processed recordings.

The dataset is split into 4 sub-datasets: Mono Continuous, Mono Discrete, Poly Continuous, Poly Discrete

Authors:

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

Reference:

If you make use of GUITAR-FX-DIST, please cite the following publication:

@article{comunita2020guitar,
  title={Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks},
  author={Comunit{\`a}, Marco and Stowell, Dan and Reiss, Joshua D},
  journal={arXiv preprint arXiv:2012.03216},
  year={2020}
}