Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Baseline System of Voice Conversion Challenge 2020 with Cyclic
  Variational Autoencoder and Parallel WaveGAN   In this paper, we present a description of the baseline system of Voice
Conversion Challenge (VCC) 2020 with a cyclic variational autoencoder
(CycleVAE) and Parallel WaveGAN (PWG), i.e., CycleVAEPWG. CycleVAE is a
nonparallel VAE-based voice conversion that utilizes converted acoustic
features to consider cyclically reconstructed spectra during optimization. On
the other hand, PWG is a non-autoregressive neural vocoder that is based on a
generative adversarial network for a high-quality and fast waveform generator.
In practice, the CycleVAEPWG system can be straightforwardly developed with the
VCC 2020 dataset using a unified model for both Task 1 (intralingual) and Task
2 (cross-lingual), where our open-source implementation is available at
https://github.com/bigpon/vcc20_baseline_cyclevae. The results of VCC 2020 have
demonstrated that the CycleVAEPWG baseline achieves the following: 1) a mean
opinion score (MOS) of 2.87 in naturalness and a speaker similarity percentage
(Sim) of 75.37% for Task 1, and 2) a MOS of 2.56 and a Sim of 56.46% for Task
2, showing an approximately or nearly average score for naturalness and an
above average score for speaker similarity.

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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: nlin
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The categories of this paper are: nucl-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: dg-ga
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: math