Automatic music tagging with Harmonic CNN

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Título:	Automatic music tagging with Harmonic CNN
Autor/a:	Won, Minz; Chun, Sangyuk; Nieto Caballero, Oriol; Serra, Xavier
Abstract:	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.
Abstract:	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).
Derechos:	© 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/
Tipo de documento:	Objeto de conferencia Artículo - Versión publicada
Editor:	International Society for Music Information Retrieval (ISMIR)
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Kim, Jaehun; Won, Minz; Serra, Xavier; Liem, Cynthia C. S.

Bogdanov, Dmitry; Won, Minz; Tovstogan, Philip; Porter, Alastair; Serra, Xavier

Pons Puig, Jordi; Nieto Caballero, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier

Oramas, Sergio; Nieto Caballero, Oriol; Sordo, Mohamed; Serra, Xavier

Oramas, Sergio; Nieto Caballero, Oriol; Barbieri, Francesco; Serra, Xavier

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