Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast Multichannel Source Separation Based on Jointly Diagonalizable
  Spatial Covariance Matrices   This paper describes a versatile method that accelerates multichannel source
separation methods based on full-rank spatial modeling. A popular approach to
multichannel source separation is to integrate a spatial model with a source
model for estimating the spatial covariance matrices (SCMs) and power spectral
densities (PSDs) of each sound source in the time-frequency domain. One of the
most successful examples of this approach is multichannel nonnegative matrix
factorization (MNMF) based on a full-rank spatial model and a low-rank source
model. MNMF, however, is computationally expensive and often works poorly due
to the difficulty of estimating the unconstrained full-rank SCMs. Instead of
restricting the SCMs to rank-1 matrices with the severe loss of the spatial
modeling ability as in independent low-rank matrix analysis (ILRMA), we
restrict the SCMs of each frequency bin to jointly-diagonalizable but still
full-rank matrices. For such a fast version of MNMF, we propose a
computationally-efficient and convergence-guaranteed algorithm that is similar
in form to that of ILRMA. Similarly, we propose a fast version of a
state-of-the-art speech enhancement method based on a deep speech model and a
low-rank noise model. Experimental results showed that the fast versions of
MNMF and the deep speech enhancement method were several times faster and
performed even better than the original versions of those methods,
respectively.

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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
18
The categories of this paper are: econ
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
2
The categories of this paper are: math
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg