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eess.AS2026
Room Impulse Response Embeddings for Speech Enhancement in Noisy and Reverberant Environments
Adrian Meise, Reinhold Haeb-Umbach
We propose a self-supervised approach for learning room impulse response (RIR) representations from single-channel noisy-reverberant speech. It consists of first training on reverb…
eess.AS2026
Investigating the Integration of Spatial Information in Foundation-Model-Based Speaker Diarization
Marc Deegen, Adrian Meise, Reinhold Haeb-Umbach
Spatial information gleaned from multi-channel input has been shown to lead to improvements in meeting processing tasks like diarization and source separation. At the same time, di…
eess.AS2026
Loose coupling of spectral and spatial models for multi-channel diarization and enhancement of meetings in dynamic environments
Adrian Meise, Tobias Cord-Landwehr, Christoph Boeddeker +3
Sound capture by microphone arrays opens the possibility to exploit spatial, in addition to spectral, information for diarization and signal enhancement, two important tasks in mee…