Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech
  Recognition System   Nowadays, research in speech technologies has gotten a lot out thanks to
recently created public domain corpora that contain thousands of recording
hours. These large amounts of data are very helpful for training the new
complex models based on deep learning technologies. However, the lack of
dialectal diversity in a corpus is known to cause performance biases in speech
systems, mainly for underrepresented dialects. In this work, we propose to
evaluate a state-of-the-art automatic speech recognition (ASR) deep
learning-based model, using unseen data from a corpus with a wide variety of
labeled English accents from different countries around the world. The model
has been trained with 44.5K hours of English speech from an open access corpus
called Multilingual LibriSpeech, showing remarkable results in popular
benchmarks. We test the accuracy of such ASR against samples extracted from
another public corpus that is continuously growing, the Common Voice dataset.
Then, we present graphically the accuracy in terms of Word Error Rate of each
of the different English included accents, showing that there is indeed an
accuracy bias in terms of accentual variety, favoring the accents most
prevalent in the training corpus.

5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: stat
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The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an