Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-stream Network With Temporal Attention For Environmental Sound
  Classification   Environmental sound classification systems often do not perform robustly
across different sound classification tasks and audio signals of varying
temporal structures. We introduce a multi-stream convolutional neural network
with temporal attention that addresses these problems. The network relies on
three input streams consisting of raw audio and spectral features and utilizes
a temporal attention function computed from energy changes over time. Training
and classification utilizes decision fusion and data augmentation techniques
that incorporate uncertainty. We evaluate this network on three commonly used
data sets for environmental sound and audio scene classification and achieve
new state-of-the-art performance without any changes in network architecture or
front-end preprocessing, thus demonstrating better generalizability.

29
The categories of this paper are: funct-an
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph