End-to-End Diarization utilizing Attractor Deep Clustering

David Palzer, Matthew Maciejewski, Eric Fosler-Lussier

Speaker diarization remains challenging due to the need for structured speaker representations, efficient modeling, and robustness to varying conditions. We propose a performant, c…