Most gadgets and electronics devices are commonly equipped with single microphone only. This is difficult task
in source separation world which traditionally required more sensors than sources to achieve better performance. In this
paper we evaluated single channel source separation to enhance target signal from inteferred noise. The method we used is
non-negative matrix factorization (NMF) that decompose signal into its components and find the matched signal to target
speaker. As objective evaluation, coherence score is used to measure the perceptual similarity from enhanced to original
one. It show the extracted has 0.5 of average coherence that shows medium correlation between both signals.
The following slides talk a bit about signal Signal enhancement by single channel source separation principle. You can grab the full paper here.