Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mixing-Specific Data Augmentation Techniques for Improved Blind
  Violin/Piano Source Separation   Blind music source separation has been a popular and active subject of
research in both the music information retrieval and signal processing
communities. To counter the lack of available multi-track data for supervised
model training, a data augmentation method that creates artificial mixtures by
combining tracks from different songs has been shown useful in recent works.
Following this light, we examine further in this paper extended data
augmentation methods that consider more sophisticated mixing settings employed
in the modern music production routine, the relationship between the tracks to
be combined, and factors of silence. As a case study, we consider the
separation of violin and piano tracks in a violin piano ensemble, evaluating
the performance in terms of common metrics, namely SDR, SIR, and SAR. In
addition to examining the effectiveness of these new data augmentation methods,
we also study the influence of the amount of training data. Our evaluation
shows that the proposed mixing-specific data augmentation methods can help
improve the performance of a deep learning-based model for source separation,
especially in the case of small training data.

17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th