  Usable speech criteria are proposed to extract minimally corrupted speech for
speaker identification (SID) in co-channel speech. In co-channel speech, either
speaker can randomly appear as the stronger speaker or the weaker one at a
time. Hence, the extracted usable segments are separated in time and need to be
organized into speaker streams for SID. In this paper, we focus to organize
extracted usable speech segment into a single stream for the same speaker by
speaker assignment system. For this, we develop model-based speaker assignment
method based on posterior probability and exhaustive search algorithm.
Evaluation of this method is performed on TIMIT database. The system is
evaluated on co-channel speech and results show a significant improvement.
