Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Piano Skills Assessment   Can a computer determine a piano player's skill level? Is it preferable to
base this assessment on visual analysis of the player's performance or should
we trust our ears over our eyes? Since current CNNs have difficulty processing
long video videos, how can shorter clips be sampled to best reflect the players
skill level? In this work, we collect and release a first-of-its-kind dataset
for multimodal skill assessment focusing on assessing piano player's skill
level, answer the asked questions, initiate work in automated evaluation of
piano playing skills and provide baselines for future work. Dataset is
available from: https://github.com/ParitoshParmar/Piano-Skills-Assessment.

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The categories of this paper are: plasm-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: funct-an
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
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The categories of this paper are: math
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-lat
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The categories of this paper are: stat