Work

A robust diarization system for measuring dominance in Peer-Led Team Learning groups

Year: 2016

Type: conference-paper

Abstract: 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 conversational-turns 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.

Source: IEEE Spoken Language Technology Workshop (SLT)

DOI: 10.1109/slt.2016.7846283

Authors: Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen

Institution: The University of Texas at Dallas

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Air Force Research Laboratory