Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
  Learning, Semi-Supervised Learning and Interpretation   We introduce VoxPopuli, a large-scale multilingual corpus providing 100K
hours of unlabelled speech data in 23 languages. It is the largest open data to
date for unsupervised representation learning as well as semi-supervised
learning. VoxPopuli also contains 1.8K hours of transcribed speeches in 16
languages and their aligned oral interpretations into 5 other languages
totaling 5.1K hours. We provide speech recognition baselines and validate the
versatility of VoxPopuli unlabelled data in semi-supervised learning under
challenging out-of-domain settings. We will release the corpus at
https://github.com/facebookresearch/voxpopuli under an open license.

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The categories of this paper are: chem-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio
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The categories of this paper are: hep-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-th
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The categories of this paper are: physics
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph