We consider an enhancement to the DUET sound source separation
system [
1], which allowed for the separation of
N localized sparse sources given stereo mixture signals.
Specifically, we expand the system and the related delay and scale
subtraction scoring (DASSS) [
2] to consider cases when
two sources, rather than one, are active at the same point in STFT
time-frequency space. We begin with a review of the DUET system
and its sparsity and independence assumptions. We then consider
how the DUET system and DASSS respond when faced with two active
sources, and use this information in a Bayesian context to score
the probability that two particular sources are active. We
conclude with a musical example illustrating the benefit of our
approach.
