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20232025
most citedDiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

1 citations · 2 across the 8 of their papers we have counts for

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cs.SD2024

Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?

Lin Zhang, Themos Stafylakis, Federico Landini +3

In this paper, we apply the variational information bottleneck approach to end-to-end neural diarization with encoder-decoder attractors (EEND-EDA). This allows us to investigate w…