arxiv
PublishedSeptember 23, 2026 at 4:00 AM
Challenges of Multi-Speaker Extraction for Real Conversational Speech Enhancement
Publisher summary· verbatim
arXiv:2609.25948v1 Announce Type: cross Abstract: Target-speaker and multi-speaker extraction are techniques for extracting speech from a desired speaker or desired speakers in the presence of other speakers and/or noise. Neural network approaches for this task are often trained and evaluated using
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 Generation14harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video14harxivCan Graph Learning Learn Circuits?14harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery14hThe 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 ↗