18 citations · 33 across the 13 of their papers we have counts for
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eess.AS2021
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization
Prachi Singh, Sriram Ganapathy
In this paper, we propose a novel algorithm for speaker diarization using metric learning for graph based clustering. The graph clustering algorithms use an adjacency matrix consis…
eess.AS2021★ 18 cited
Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization
Prachi Singh, Sriram Ganapathy
Automatic speaker diarization techniques typically involve a two-stage processing approach where audio segments of fixed duration are converted to vector representations in the fir…
eess.AS2021
LEAP Submission for the Third DIHARD Diarization Challenge
Prachi Singh, Rajat Varma, Venkat Krishnamohan +2
The LEAP submission for DIHARD-III challenge is described in this paper. The proposed system is composed of a speech bandwidth classifier, and diarization systems fine-tuned for na…