Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A convolutional neural-network model of human cochlear mechanics and
  filter tuning for real-time applications   Auditory models are commonly used as feature extractors for automatic
speech-recognition systems or as front-ends for robotics, machine-hearing and
hearing-aid applications. Although auditory models can capture the biophysical
and nonlinear properties of human hearing in great detail, these biophysical
models are computationally expensive and cannot be used in real-time
applications. We present a hybrid approach where convolutional neural networks
are combined with computational neuroscience to yield a real-time end-to-end
model for human cochlear mechanics, including level-dependent filter tuning
(CoNNear). The CoNNear model was trained on acoustic speech material and its
performance and applicability were evaluated using (unseen) sound stimuli
commonly employed in cochlear mechanics research. The CoNNear model accurately
simulates human cochlear frequency selectivity and its dependence on sound
intensity, an essential quality for robust speech intelligibility at negative
speech-to-background-noise ratios. The CoNNear architecture is based on
parallel and differentiable computations and has the power to achieve real-time
human performance. These unique CoNNear features will enable the next
generation of human-like machine-hearing applications.

15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph