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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…
A Speaker Diarization System for Studying Peer-Led Team Learning Groups
Harishchandra Dubey, Lakshmish Kaushik, Abhijeet Sangwan +1
Peer-led team learning (PLTL) is a model for teaching STEM courses where small student groups meet periodically to collaboratively discuss coursework. Automatic analysis of PLTL se…