Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Deep Direct-Path Relative Transfer Function for Binaural Sound
  Source Localization   Direct-path relative transfer function (DP-RTF) refers to the ratio between
the direct-path acoustic transfer functions of two microphone channels. Though
DP-RTF fully encodes the sound spatial cues and serves as a reliable
localization feature, it is often erroneously estimated in the presence of
noise and reverberation. This paper proposes to learn DP-RTF with deep neural
networks for robust binaural sound source localization. A DP-RTF learning
network is designed to regress the binaural sensor signals to a real-valued
representation of DP-RTF. It consists of a branched convolutional neural
network module to separately extract the inter-channel magnitude and phase
patterns, and a convolutional recurrent neural network module for joint feature
learning. To better explore the speech spectra to aid the DP-RTF estimation, a
monaural speech enhancement network is used to recover the direct-path
spectrograms from the noisy ones. The enhanced spectrograms are stacked onto
the noisy spectrograms to act as the input of the DP-RTF learning network. We
train one unique DP-RTF learning network using many different binaural arrays
to enable the generalization of DP-RTF learning across arrays. This way avoids
time-consuming training data collection and network retraining for a new array,
which is very useful in practical application. Experimental results on both
simulated and real-world data show the effectiveness of the proposed method for
direction of arrival (DOA) estimation in the noisy and reverberant environment,
and a good generalization ability to unseen binaural arrays.

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The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
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The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc