Research project: Deep Neural Networks for Source Separation
Blind source separation (BSS) separates a set of desired signals from a mixed observations. Typical applications include sensor array surveillance systems where acoustics sources are to be extracted. However, the nonlinear mixing problem in real environments remains a challenge.