Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-scale Embedded CNN for Music Tagging (MsE-CNN)   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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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ex
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The categories of this paper are: math
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The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
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The categories of this paper are: nlin
18
The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: acc-phys