Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Latency-Controlled Neural Architecture Search for Streaming Speech
  Recognition   Neural architecture search (NAS) has attracted much attention and has been
explored for automatic speech recognition (ASR). In this work, we focus on
streaming ASR scenarios and propose the latency-controlled NAS for acoustic
modeling. First, based on the vanilla neural architecture, normal cells are
altered to causal cells to control the total latency of the architecture.
Second, a revised operation space with a smaller receptive field is proposed to
generate the final architecture with low latency. Extensive experiments show
that: 1) Based on the proposed neural architecture, the neural networks with a
medium latency of 550ms (millisecond) and a low latency of 190ms can be learned
in the vanilla and revised operation space respectively. 2) For the low latency
setting, the evaluation network can achieve more than 19\% (average on the four
test sets) relative improvements compared with the hybrid CLDNN baseline, on a
10k-hour large-scale dataset.

2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org