Showing eess.ASShow all
3 papers · 1 filter
eess.AS2026
Listen first: Output-based multi-microphone speech enhancement
Panos Apostolidis, Svend Feldt, Zheng-Hua Tan +2
Traditionally, hearing-aid speech enhancement (SE) algorithms rely on input-based feature estimation, often derived by a voice activity detector (VAD), to configure beamformers. Ye…
eess.AS2026
Ranking the Impact of Contextual Specialization in Neural Speech Enhancement
Peter Leer, Svend Feldt, Zheng-Hua Tan +2
We systematically investigate neural speech enhancement systems, ranging from very small (10\,k parameters) to medium-large (2-5\,M parameters), which specialize to aco…
eess.AS2025
Sound field estimation with moving microphones using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Ãstergaard +3
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In th…