Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Dysarthric Speech Intelligibility Using Cycle-consistent
  Adversarial Training   Dysarthria is a motor speech impairment affecting millions of people.
Dysarthric speech can be far less intelligible than those of non-dysarthric
speakers, causing significant communication difficulties. The goal of our work
is to develop a model for dysarthric to healthy speech conversion using
Cycle-consistent GAN. Using 18,700 dysarthric and 8,610 healthy control Korean
utterances that were recorded for the purpose of automatic recognition of voice
keyboard in a previous study, the generator is trained to transform dysarthric
to healthy speech in the spectral domain, which is then converted back to
speech. Objective evaluation using automatic speech recognition of the
generated utterance on a held-out test set shows that the recognition
performance is improved compared with the original dysarthic speech after
performing adversarial training, as the absolute WER has been lowered by 33.4%.
It demonstrates that the proposed GAN-based conversion method is useful for
improving dysarthric speech intelligibility.

6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas