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20242026
most citedSelf-Tuning Spectral Clustering for Speaker Diarization

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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…