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arXiv · 1906.06746

Multi-scale Embedded CNN for Music Tagging (MsE-CNN)

Nima Hamidi·Mohsen Vahidzadeh·Stephen Baek
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Abstract

Convolutional neural networks (CNN) recently gained notable attraction in a variety of machine learning tasks: including music classification and style tagging. In this work, we propose implementing intermediate connections to the CNN architecture to facilitate the transfer of multi-scale/level knowledge between different layers. Our novel model for music tagging shows significant improvement in comparison to the proposed approaches in the literature, due to its ability to carry low-level timbral features to the last layer.

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BibTeXRIS

Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek. 2019-06-16. Multi-scale Embedded CNN for Music Tagging (MsE-CNN). https://arxiv.org/abs/1906.06746

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