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"

Date Created 2023-09-25 (about a year ago)

Commits 137 (last one 8 days ago)

Stargazers 109 (1 this week)

Watchers 4 (0 this week)

Forks 5

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RepositoryStats indexes 609,066 repositories, of these Audio-WestlakeU/FS-EEND is ranked #282,048 (54th percentile) for total stargazers, and #381,252 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #52,562/122,846.

Audio-WestlakeU/FS-EEND is also tagged with popular topics, for these it's ranked: pytorch (#3,492/6095)

Other Information

Audio-WestlakeU/FS-EEND has Github issues enabled, there are 4 open issues and 13 closed issues.

All Topics

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

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137 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2025-01-29 @ 06:42am, id: 696114426 / R_kgDOKX3c-g