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Paper · arXiv

Slots Are Not Speakers: Training-Free Speaker Linking for Frozen Streaming Diarizers

This paper presents a causal, training-free linker that allows a frozen streaming diarizer to track more speakers than it has output slots. Streaming end-to-end diarizers such as Streaming Sortformer emit a fixed number N of concurrent speaker slots. Above N speakers, they keep detecting speech but reuse slots across people, because N bounds how many speakers the model can express at once, not how many it will meet. The linker uses only the host's slot posteriors and the audio. It keeps the frames where one slot is active, splits each slot where the speaker changes, embeds each piece with an off-the-shelf speaker encoder, and matches it against a bank of speakers seen so far. It only rela...

AuthorsAditya Srinivas Menon, Kumarmanas Nethil, Kavya Manohar
Primary categorycs.SD
Published20 October 2026
Last updated at source20 October 2026
cs.SDcs.AI
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