arxiv
PublishedSeptember 25, 2026 at 4:00 AM
—neutral
Interactive In-Meeting Speaker Correction with Human Feedback
Publisher summary· verbatim
arXiv:2509.18377v3 Announce Type: replace Abstract: Most automatic speech processing systems operate in ``open loop'' mode without user feedback about who said what, yet human-in-the-loop workflows can potentially enable higher accuracy. We propose an LLM-assisted in-meeting speaker correction syste
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation13harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video13harxivCan Graph Learning Learn Circuits?13harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery13hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗