  Typical methods for binaural source separation consider only the direct sound
as the target signal in a mixture. However, in most scenarios, this assumption
limits the source separation performance. It is well known that the early
reflections interact with the direct sound, producing acoustic effects at the
listening position, e.g. the so-called comb filter effect. In this article, we
propose a novel source separation model, that utilizes both the direct sound
and the first early reflection information to model the comb filter effect.
This is done by observing the interaural phase difference obtained from the
time-frequency representation of binaural mixtures. Furthermore, a method is
proposed to model the interaural coherence of the signals. Including
information related to the sound multipath propagation, the performance of the
proposed separation method is improved with respect to the baselines that did
not use such information, as illustrated by using binaural recordings made in
four rooms, having different sizes and reverberation times.
