Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling

David Palzer, Matthew Maciejewski, Eric Fosler-Lussier

In recent years, end-to-end approaches have made notable progress in addressing the challenge of speaker diarization, which involves segmenting and identifying speakers in multi-ta…