Amrit Kaul

Supervised Hierarchical Clustering Using Graph Neural Networks for Speaker Diarization

Conventional methods for speaker diarization involve windowing an audio file into short segments to extract speaker embeddings, followed by an unsupervised clustering of the embeddings. This multistep approach generates speaker assignments for each segment. In this paper, we propose a novel Supervis…