Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Quality Control and Enhancement for Voice-Based Remote
  Parkinson's Disease Detection   The performance of voice-based Parkinson's disease (PD) detection systems
degrades when there is an acoustic mismatch between training and operating
conditions caused mainly by degradation in test signals. In this paper, we
address this mismatch by considering three types of degradation commonly
encountered in remote voice analysis, namely background noise, reverberation
and nonlinear distortion, and investigate how these degradations influence the
performance of a PD detection system. Given that the specific degradation is
known, we explore the effectiveness of a variety of enhancement algorithms in
compensating this mismatch and improving the PD detection accuracy. Then, we
propose two approaches to automatically control the quality of recordings by
identifying the presence and type of short-term and long-term degradations and
protocol violations in voice signals. Finally, we experiment with using the
proposed quality control methods to inform the choice of enhancement algorithm.
Experimental results using the voice recordings of the mPower mobile PD data
set under different degradation conditions show the effectiveness of the
quality control approaches in selecting an appropriate enhancement method and,
consequently, in improving the PD detection accuracy. This study is a step
towards the development of a remote PD detection system capable of operating in
unseen acoustic environments.

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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: mtrl-th
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: stat
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The categories of this paper are: chem-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: atom-ph