frame-wise

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Audio-WestlakeU / FS-EEND

The official Pytorch implementation of "Frame-wise streaming end-to-end speaker diarization with non-autoregressive self-attention-based attractors". [ICASSP 2024] and "LS-EEND: long-form streaming end-to-end neural diarization with online attractor extraction". [TASLP 2025]

end-to-end pytorch speaker-diarization self-attention long-form online-inference frame-wise

Updated May 7, 2026
Python

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