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eess.SP2024★ 1 cited
Self-Tuning Spectral Clustering for Speaker Diarization
Nikhil Raghav, Avisek Gupta, Md Sahidullah +1
Spectral clustering has proven effective in grouping speech representations for speaker diarization tasks, although post-processing the affinity matrix remains difficult due to the…
eess.AS2024
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…
cs.SD2024
Assessing the Robustness of Spectral Clustering for Deep Speaker Diarization
Nikhil Raghav, Md Sahidullah
Clustering speaker embeddings is crucial in speaker diarization but hasn't received as much focus as other components. Moreover, the robustness of speaker diarization across variou…