Reinhold Haeb-Umbach

2 articles · 3 co-authors · latest: 2026-07-14
8 citations · h-index 1 · 5 papersData: Semantic Scholar

We have retold 2 papers by this author. most often about: Diffusion Models, Filtering, self-supervised learning. 3 co-authors across our retellings.

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eess.AS2026-07-141 minarXiv:2607.12647express
How a Computer Learns to Hear Everyone in a Noisy Room
In a noisy room, a person picks out a desired voice thanks to two ears capturing the difference in sound arrival. A computer with several microphones does the same: it gets spatial cues — where each voice is coming from. Previously, these cues were used to focus on one direction, like a flashlight beam.
eess.AS2026-07-142 minarXiv:2607.12703express
Audio Diarization: How an Algorithm Catches Any Sound Event Without Prior Knowledge
Human hearing is wired so that the brain prioritizes familiar patterns — a friend's voice, the patter of rain, a car horn. But a new system works on a different principle: it registers any sound burst, even one never encountered before.