Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A single speaker is almost all you need for automatic speech recognition   We explore the use of speech synthesis and voice conversion applied to
augment datasets for automatic speech recognition (ASR) systems, in scenarios
with only one speaker available for the target language. Through extensive
experiments, we show that our approach achieves results compared to the
state-of-the-art (SOTA) and requires only one speaker in the target language
during speech synthesis/voice conversion model training. Finally, we show that
it is possible to obtain promising results in the training of an ASR model with
our data augmentation method and only a single real speaker in different target
languages.

27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
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The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
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The categories of this paper are: stat
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th