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An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task Cover

An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task

Transactions of the International Society for Music Information Retrieval
Volume 2 (2019): Issue 1
By: Rémi Mignot and  Geoffroy Peeters  
Open Access
|Dec 2019

Authors

Rémi Mignot

remi.mignot@ircam.fr

IRCAM Lab – CNRS – Sorbonne Université, Paris

Geoffroy Peeters

geoffroy.peeters@telecom-paristech.fr

LTCI – Télécom Paris – Institut Polytechnique de Paris, Paris
DOI: https://doi.org/10.5334/tismir.26 | Journal eISSN: 2514-3298
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Language: English
Submitted on: Dec 21, 2018
Accepted on: Aug 8, 2019
Published on: Dec 18, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Data Augmentation,
Supervised training,
Datasets,
Musical genre classification

© 2019 Rémi Mignot, Geoffroy Peeters, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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