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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ARTURIA synthesizer sounds dataset

Research datakeyboard_double_arrow_right Dataset 12 Apr 2021Publisher:Zenodo
Authors: Roche, Fanny; Hueber, Thomas; Garnier, Maëva; Limier, Samuel; Girin, Laurent;

doi: 10.5281/zenodo.4680485 , 10.5281/zenodo.4680486

ARTURIA synthesizer sounds dataset

Abstract

This dataset contains all data that have been used in: Roche F., Hueber T., Garnier M., Limier S. and Girin L., 2021. "Make That Sound More Metallic: Towards a Perceptually Relevant Control of the Timbre of Synthesizer Sounds Using Variational Autoencoder". Transactions of the International Society for Music Information Retrieval. It is constituted of a .zip file containing 1,233 audio samples of synthesizer sounds generated using factory presets of ARTURIA software applications resulting in single pitched sounds (E3, ~165Hz) with a similar duration (between 2 and 2.5 seconds) and normalized in loudness. Audio files are monophonic in WAV format using a samplerate of 44.1kHz and a 32-bit encoding.

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Keywords

Machine Learning, music sound processing, timbre perception, psychoacoustics

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citations
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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).
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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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