Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deficient Basis Estimation of Noise Spatial Covariance Matrix for
  Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech
  Extraction   Rank-constrained spatial covariance matrix estimation (RCSCME) is a
state-of-the-art blind speech extraction method applied to cases where one
directional target speech and diffuse noise are mixed. In this paper, we
proposed a new algorithmic extension of RCSCME. RCSCME complements a deficient
one rank of the diffuse noise spatial covariance matrix, which cannot be
estimated via preprocessing such as independent low-rank matrix analysis, and
estimates the source model parameters simultaneously. In the conventional
RCSCME, a direction of the deficient basis is fixed in advance and only the
scale is estimated; however, the candidate of this deficient basis is not
unique in general. In the proposed RCSCME model, the deficient basis itself can
be accurately estimated as a vector variable by solving a vector optimization
problem. Also, we derive new update rules based on the EM algorithm. We confirm
that the proposed method outperforms conventional methods under several noise
conditions.

21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph