Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scribosermo: Fast Speech-to-Text models for German and other Languages   Recent Speech-to-Text models often require a large amount of hardware
resources and are mostly trained in English. This paper presents Speech-to-Text
models for German, as well as for Spanish and French with special features: (a)
They are small and run in real-time on microcontrollers like a RaspberryPi. (b)
Using a pretrained English model, they can be trained on consumer-grade
hardware with a relatively small dataset. (c) The models are competitive with
other solutions and outperform them in German. In this respect, the models
combine advantages of other approaches, which only include a subset of the
presented features. Furthermore, the paper provides a new library for handling
datasets, which is focused on easy extension with additional datasets and shows
an optimized way for transfer-learning new languages using a pretrained model
from another language with a similar alphabet.

23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th