Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph Cepstrum: Spatial Feature Extracted from Partially Connected
  Microphones   In this paper, we propose an effective and robust method of spatial feature
extraction for acoustic scene analysis utilizing partially synchronized and/or
closely located distributed microphones. In the proposed method, a new cepstrum
feature utilizing a graph-based basis transformation to extract spatial
information from distributed microphones, while taking into account whether any
pairs of microphones are synchronized and/or closely located, is introduced.
Specifically, in the proposed graph-based cepstrum, the log-amplitude of a
multichannel observation is converted to a feature vector utilizing the inverse
graph Fourier transform, which is a method of basis transformation of a signal
on a graph. Results of experiments using real environmental sounds show that
the proposed graph-based cepstrum robustly extracts spatial information with
consideration of the microphone connections. Moreover, the results indicate
that the proposed method more robustly classifies acoustic scenes than
conventional spatial features when the observed sounds have a large
synchronization mismatch between partially synchronized microphone groups.

8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn