Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Music Artist Classification with Convolutional Recurrent Neural Networks   Previous attempts at music artist classification use frame level audio
features which summarize frequency content within short intervals of time.
Comparatively, more recent music information retrieval tasks take advantage of
temporal structure in audio spectrograms using deep convolutional and recurrent
models. This paper revisits artist classification with this new framework and
empirically explores the impacts of incorporating temporal structure in the
feature representation. To this end, an established classification
architecture, a Convolutional Recurrent Neural Network (CRNN), is applied to
the artist20 music artist identification dataset under a comprehensive set of
conditions. These include audio clip length, which is a novel contribution in
this work, and previously identified considerations such as dataset split and
feature level. Our results improve upon baseline works, verify the influence of
the producer effect on classification performance and demonstrate the
trade-offs between audio length and training set size. The best performing
model achieves an average F1 score of 0.937 across three independent trials
which is a substantial improvement over the corresponding baseline under
similar conditions. Additionally, to showcase the effectiveness of the CRNN's
feature extraction capabilities, we visualize audio samples at the model's
bottleneck layer demonstrating that learned representations segment into
clusters belonging to their respective artists.

20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol