  Augmented listening devices such as hearing aids often perform poorly in
noisy and reverberant environments with many competing sound sources. Large
distributed microphone arrays can improve performance, but data from remote
microphones often cannot be used for delay-constrained real-time processing. We
present a cooperative audio source separation and enhancement system that
leverages wearable listening devices and other microphone arrays spread around
a room. The full distributed array is used to separate sound sources and
estimate their statistics. Each listening device uses these statistics to
design real-time binaural audio enhancement filters using its own local
microphones. The system is demonstrated experimentally using 10 speech sources
and 160 microphones in a large, reverberant room.
