Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DiCOVA Challenge: Dataset, task, and baseline system for COVID-19
  diagnosis using acoustics   The DiCOVA challenge aims at accelerating research in diagnosing COVID-19
using acoustics (DiCOVA), a topic at the intersection of speech and audio
processing, respiratory health diagnosis, and machine learning. This challenge
is an open call for researchers to analyze a dataset of sound recordings
collected from COVID-19 infected and non-COVID-19 individuals for a two-class
classification. These recordings were collected via crowdsourcing from multiple
countries, through a website application. The challenge features two tracks,
one focusing on cough sounds, and the other on using a collection of breath,
sustained vowel phonation, and number counting speech recordings. In this
paper, we introduce the challenge and provide a detailed description of the
task, and present a baseline system for the task.

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The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
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The categories of this paper are: ao-sci
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph