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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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WaivOps WRLD-LP: Open Audio Resources for Machine Learning in Music

Authors: Patchbanks;

WaivOps WRLD-LP: Open Audio Resources for Machine Learning in Music

Abstract

WRLD-LP Dataset WRLD-LP is an open audio dataset comprised of a series of symbolic drum recordings in the genres of world percussion music. The dataset includes 3,162 audio loops recorded in uncompressed stereo WAV format. The compositions were generated with an internal sample dataset played with note-dense MIDI drum files from a code-based music generation system, along with a MIDI transformer model trained on more than 30,000 MIDI files. Dataset The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include tempo detection and classification, drum rhythm analysis, audio-to-MIDI conversion, source separation, automated mixing, music information retrieval, AI music generation, sound design, and signal processing. Specifications 3,162 audio loops (7.3 hours) 24-bit WAV format BPM labeled Tempo range: 100-130bpm Expressive percussion drumming Mixed rhythms of world music License This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks. All recordings have been compiled by verified sources for copyright clearance. The WRLD-LP dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Additional Info For audio examples or more information about this dataset, please refer to the GitHub repository.

Keywords

audio classification, audio, world music, tempo detection, percussion

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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
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