  The Goal is to obtain a simple multichannel source separation with very low
latency. Applications can be teleconferencing, hearing aids, augmented reality,
or selective active noise cancellation. These real time applications need a
very low latency, usually less than about 6 ms, and low complexity, because
they usually run on small portable devices. For that we don't need the best
separation, but "useful" separation, and not just on speech, but also music and
noise. Usual frequency domain approaches have higher latency and complexity.
Hence we introduce a novel probabilistic optimization method which we call
"Random Directions", which can overcome local minima, applied to a simple time
domain unmixing structure, and which is scalable for low complexity. Then it is
compared to frequency domain approaches on separating speech and music sources,
and using 3D microphone setups.
