Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transformer-based language modeling and decoding for conversational
  speech recognition   We propose a way to use a transformer-based language model in conversational
speech recognition. Specifically, we focus on decoding efficiently in a
weighted finite-state transducer framework. We showcase an approach to lattice
re-scoring that allows for longer range history captured by a transfomer-based
language model and takes advantage of a transformer's ability to avoid
computing sequentially.

17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat