Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of
  Parkinson's Speech Data   Parkinson disease (PD)'s speech recognition is an effective way for its
diagnosis, which has become a hot and difficult research area in recent years.
As we know, there are large corpuses (segments) within one subject. However,
too large segments will increase the complexity of the classification model.
Besides, the clinicians interested in finding diagnostic speech markers that
reflect the pathology of the whole subject. Since the optimal relevant features
of each speech sample segment are different, it is difficult to find the
uniform diagnostic speech markers. Therefore, it is necessary to reconstruct
the existing large segments within one subject into few segments even one
segment within one subject, which can facilitate the extraction of relevant
speech features to characterize diagnostic markers for the whole subject. To
address this problem, an enveloped deep speech sample learning algorithm for
Parkinson's subjects based on multilayer fuzzy c-mean (MlFCM) clustering and
interlayer consistency preservation is proposed in this paper. The algorithm
can be used to achieve intra-subject sample reconstruction for Parkinson's
disease (PD) to obtain a small number of high-quality prototype sample
segments. At the end of the paper, several representative PD speech datasets
are selected and compared with the state-of-the-art related methods,
respectively. The experimental results show that the proposed algorithm is
effective signifcantly.

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The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol