2 papers
eess.AS2026
SE-MSB: End-to-End Unpaired Speech Enhancement using Mamba Schrödinger Bridges
Andreas Bagge, Andreas Nymand, Michael Riis Andersen +1
Speech enhancement (SE) models typically rely on supervised learning with paired data examples where clean speech is synthetically degraded. This paradigm limits performance in rea…
eess.AS2026
Don't Listen to Me: A Lightweight, Low-Latency Model for Own-Voice Cancellation in Far-Field Speech Enhancement
Mads Østergaard, Alexander Neergaard Zahid, Karl Ulbæk +3
We introduce own-voice cancellation (OVC): removing a target (enrolled) speaker from a noisy multi-speaker mixture while preserving any remaining speech. Framed as the complement o…