GuitarSet is a dataset of high-quality guitar recordings and rich annotations. It contains 360 excerpts 30 seconds in length. The 360 excerpts are the result of the following combinations:
31 PAPERS • 2 BENCHMARKS
The Groove MIDI Dataset (GMD) is composed of 13.6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive drumming. The dataset contains 1,150 MIDI files and over 22,000 measures of drumming.
16 PAPERS • 2 BENCHMARKS
The gtzan8 audio dataset contains 1000 tracks of 30 second length. There are 10 genres, each containing 100 tracks which are all 22050Hz Mono 16-bit audio files in .wav format. The genres are:
15 PAPERS • 6 BENCHMARKS
ASAP is a dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.
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This data set includes beat and bar annotations of the ballroom dataset, introduced by Gouyon et al. [1].
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This dataset includes the beat and downbeat annotations for Beatles albums. The annotations are provided by M. E. P. Davies et. al [1].
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35 recordings of Candombe music with beat and downbeat annotations.
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48 multitrack jazz recordings with many annotations.
J. Hockman, M. E. Davies, and I. Fujinaga, “One in the jungle: Downbeat detection in hardcore, jungle, and drum and bass.” in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2012.
S. W. Hainsworth and M. D. Macleod, “Particle filtering applied to musical tempo tracking,” EURASIP Journal on Advances in Signal Processing, vol. 2004, pp. 1–11, 2004
Beats, downbeats, and functional structural annotations for 912 Pop tracks.
Eremenko, E. Demirel, B. Bozkurt, and X. Serra, “Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research,” in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2018
J. Driedger, H. Schreiber, W. B. de Haas, and M. Müller, “Towards automatically correcting tapped beat annotations for music recordings.” in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2019