Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Investigations on Audiovisual Emotion Recognition in Noisy Conditions   In this paper we explore audiovisual emotion recognition under noisy acoustic
conditions with a focus on speech features. We attempt to answer the following
research questions: (i) How does speech emotion recognition perform on noisy
data? and (ii) To what extend does a multimodal approach improve the accuracy
and compensate for potential performance degradation at different noise levels?
We present an analytical investigation on two emotion datasets with
superimposed noise at different signal-to-noise ratios, comparing three types
of acoustic features. Visual features are incorporated with a hybrid fusion
approach: The first neural network layers are separate modality-specific ones,
followed by at least one shared layer before the final prediction. The results
show a significant performance decrease when a model trained on clean audio is
applied to noisy data and that the addition of visual features alleviates this
effect.

10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat