A Robust Diarization System for Measuring Dominance in Peer-Led Team Learning Groups
This addresses the need for automated dominance assessment in educational settings like PLTL for STEM courses, though it appears incremental as it builds on existing diarization methods.
The paper tackled the problem of measuring dominance in Peer-Led Team Learning groups by developing a speaker diarization system using an informed HMM approach with side information and a modified BIC, resulting in a novel dominance score based on unsupervised acoustic analysis.
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.