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ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: Datacite
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IDMT-PIANO-MM Dataset

Authors: Abeßer, Jakob; Bittner, Franca; Richter, Maike; Gonzalez, Marcel; Lukashevich, Hanna;

IDMT-PIANO-MM Dataset

Abstract

The dataset IDMT-PIANO-MM includes a total of 432 piano recordings (around four hours), which cover nine music pieces recorded in eight different rooms using six different recording devices. The pieces cover classical music (B. Bartók, W. A. Mozart, J. Pachelbel, and L. v. Beethoven) as well as jazz (S. Joplin as well as own compositions) and range from simple to medium difficulty. All music pieces are in the public domain. The recording locations range from small rooms to a large lecture hall. Information about the room geometries, piano position within the room, as well as wall materials are documented. The rooms include four different grand pianos, three upright pianos, and one stage-piano. At each location, audio recordings were made with three mobile phones (iPhone 6S Plus, Redmi Note 8, LG G6), two tablets (iPad Air 2, Amazon Fire tablet), and one stereo setup using two high-quality Oktava MK 012 microphones in an AB recording setup.

Keywords

Piano Transcription, Mobile Recording Devices, Chord Progressions, Domain Mismatch, Domain Adaptation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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