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eess.AS2026
DiariZen Explained: A Tutorial for the Open Source State-of-the-Art Speaker Diarization Pipeline
Nikhil Raghav
Speaker diarization (SD) is the task of answering "who spoke when" in a multi-speaker audio stream. Classically, an SD system clusters segments of speech belonging to an individual…
eess.AS2026
TCG CREST System Description for the DISPLACE-M Challenge
Nikhil Raghav, Md Sahidullah
This report presents the TCG CREST system description for Track 1 (Speaker Diarization) of the DISPLACE-M challenge, focusing on naturalistic medical conversations in noisy rural-h…
eess.AS2026
MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization
Nikhil Raghav, Avisek Gupta, Swagatam Das +1
Speaker diarization aims to segment audio recordings into regions corresponding to individual speakers. Although unsupervised speaker diarization is inherently challenging, the pro…