Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast offline Transformer-based end-to-end automatic speech recognition
  for real-world applications   With the recent advances in technology, automatic speech recognition (ASR)
has been widely used in real-world applications. The efficiency of converting
large amounts of speech into text accurately with limited resources has become
more important than ever. This paper proposes a method to rapidly recognize a
large speech database via a Transformer-based end-to-end model. Transformers
have improved the state-of-the-art performance in many fields. However, they
are not easy to use for long sequences. In this paper, various techniques to
speed up the recognition of real-world speeches are proposed and tested,
including decoding via multiple-utterance batched beam search, detecting
end-of-speech based on a connectionist temporal classification (CTC),
restricting the CTC prefix score, and splitting long speeches into short
segments. Experiments are conducted with the Librispeech English and the
real-world Korean ASR tasks to verify the proposed methods. From the
experiments, the proposed system can convert 8 hours of speeches spoken at
real-world meetings into text in less than 3 minutes with a 10.73% character
error rate, which is 27.1% relatively lower than that of conventional systems.

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The categories of this paper are: mtrl-th
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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: econ
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The categories of this paper are: ao-sci
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: physics
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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: math-ph