  Peer-Led Team Learning (PLTL) is a structured learning model where a team
leader is appointed to facilitate collaborative problem solving among students
for Science, Technology, Engineering and Mathematics (STEM) courses. This paper
presents an informed HMM-based speaker diarization system. The minimum duration
of short conversationalturns and number of participating students were fed as
side information to the HMM system. A modified form of Bayesian Information
Criterion (BIC) was used for iterative merging and re-segmentation. Finally, we
used the diarization output to compute a novel dominance score based on
unsupervised acoustic analysis.
