10 citations · 10 across the 6 of their papers we have counts for
7 papers
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data
Aditya Joglekar, John H. L. Hansen, Meena Chandra Shekar +1
The Fearless Steps Initiative by UTDallas-CRSS led to the digitization, recovery, and diarization of 19,000 hours of original analog audio data, as well as the development of algor…
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
Harishchandra Dubey, Abhijeet Sangwan, John Hansen
Speaker diarization determines who spoke and when? in an audio stream. In this study, we propose a model-based approach for robust speaker clustering using i-vectors. The ivectors…
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
Speaker Diarization (i.e. determining who spoke and when?) for multi-speaker naturalistic interactions such as Peer-Led Team Learning (PLTL) sessions is a challenging task. In this…
Robust Feature Clustering for Unsupervised Speech Activity Detection
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
In certain applications such as zero-resource speech processing or very-low resource speech-language systems, it might not be feasible to collect speech activity detection (SAD) an…
Using Speech Technology for Quantifying Behavioral Characteristics in Peer-Led Team Learning Sessions
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
Peer-Led Team Learning (PLTL) is a learning methodology where a peer-leader co-ordinate a small-group of students to collaboratively solve technical problems. PLTL have been adopte…
A Robust Diarization System for Measuring Dominance in Peer-Led Team Learning Groups
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
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, En…