Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Project Achoo: A Practical Model and Application for COVID-19 Detection
  from Recordings of Breath, Voice, and Cough   The COVID-19 pandemic created a significant interest and demand for infection
detection and monitoring solutions. In this paper we propose a machine learning
method to quickly triage COVID-19 using recordings made on consumer devices.
The approach combines signal processing methods with fine-tuned deep learning
networks and provides methods for signal denoising, cough detection and
classification. We have also developed and deployed a mobile application that
uses symptoms checker together with voice, breath and cough signals to detect
COVID-19 infection. The application showed robust performance on both open
sourced datasets and on the noisy data collected during beta testing by the end
users.

33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat