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Title:
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Automatic music tagging with Harmonic CNN
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Author:
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Won, Minz; Chun, Sangyuk; Nieto Caballero, Oriol; Serra, Xavier
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Abstract:
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In this paper, we introduce the Harmonic Convolutional Neural Network (Harmonic CNN), a music representation model that exploits the inherent harmonic structure of audio signals. The proposed model outperforms previous approaches in automatic music tagging on the MagnaTagATune (MTAT) dataset. |
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Abstract:
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This work was funded by the predoctoral grant MDM-2015-0502-17-2 from the Spanish Ministry of Economy
and Competitiveness linked to the Maria de Maeztu Units of Excellence Programme (MDM-2015-
0502). |
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Rights:
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© Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra. “Automatic music tagging with Harmonic CNN”, Late Breaking/Demo at the 20th International Society for Music Information Retrieval, Delft, The Netherlands, 2019.
https://creativecommons.org/licenses/by/4.0/
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Document type:
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Conference Object
Article - Published version |
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Published by:
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International Society for Music Information Retrieval (ISMIR)
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