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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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AAM: Artificial Audio Multitracks Dataset

Authors: Ostermann, Fabian; Vatolkin, Igor;

AAM: Artificial Audio Multitracks Dataset

Abstract

This dataset contains 3,000 artificial music audio tracks with rich annotations. It is based on real instrument samples and generated by algorithmic composition with respect to music theory. It provides full mixes of the songs as well as single instrument tracks. The midis used for generation are also available. The annotation files include: Onsets, Pitches, Instruments, Keys, Tempos, Segments, Melody instrument, Beats, and Chords. A presentation paper was published open-access in EURASIP Journal on Audio, Speech, and Music Processing. Current development and source code of the generator tool can be found on GitHub. For a tiny version for demonstration and testing purposes see: zenodo.6771120

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Keywords

artificial music dataset, instrument recognition, chord detection, music segmentation, onset detection, music classification

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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