{"url":"/dataset/guitar-fx-dist-a-dataset-of-processed-guitar","name":"GUITAR-FX-DIST: A Dataset of Processed Guitar Recordings for Music Research - (Mono Discrete)","full_name":null,"description_markdown":"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.\r\n\r\nThe dataset is split into 4 sub-datasets: Mono Continuous, Mono Discrete, Poly Continuous, Poly Discrete\r\n\r\n\r\nAuthors:\r\n\r\nMarco Comunità - Centre for Digital Music, Queen Mary University of London\r\n\r\n\r\nReference:\r\n\r\nIf you make use of GUITAR-FX-DIST, please cite the following publication:\r\n```\r\n@article{comunita2020guitar,\r\n  title={Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks},\r\n  author={Comunit{\\`a}, Marco and Stowell, Dan and Reiss, Joshua D},\r\n  journal={arXiv preprint arXiv:2012.03216},\r\n  year={2020}\r\n}\r\n```","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.4298000","introduced_date":"2020-12-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/guitar-effects-recognition-and-parameter","title":"Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks","first_author":"Marco Comunità","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["GUITAR-FX-DIST: A Dataset of Processed Guitar Recordings for Music Research - (Mono Discrete)"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}