4 papers · 1 filter
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…
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…
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…
TCG CREST System Description for the Second DISPLACE Challenge
Nikhil Raghav, Subhajit Saha, Md Sahidullah +1
In this report, we describe the speaker diarization (SD) and language diarization (LD) systems developed by our team for the Second DISPLACE Challenge, 2024. Our contributions were…