Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Single microphone speaker extraction using unified time-frequency
  Siamese-Unet   In this paper we present a unified time-frequency method for speaker
extraction in clean and noisy conditions. Given a mixed signal, along with a
reference signal, the common approaches for extracting the desired speaker are
either applied in the time-domain or in the frequency-domain. In our approach,
we propose a Siamese-Unet architecture that uses both representations. The
Siamese encoders are applied in the frequency-domain to infer the embedding of
the noisy and reference spectra, respectively. The concatenated representations
are then fed into the decoder to estimate the real and imaginary components of
the desired speaker, which are then inverse-transformed to the time-domain. The
model is trained with the Scale-Invariant Signal-to-Distortion Ratio (SI-SDR)
loss to exploit the time-domain information. The time-domain loss is also
regularized with frequency-domain loss to preserve the speech patterns.
Experimental results demonstrate that the unified approach is not only very
easy to train, but also provides superior results as compared with
state-of-the-art (SOTA) Blind Source Separation (BSS) methods, as well as
commonly used speaker extraction approach.

15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg