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V. Hofmann

2 papers hereh-index 9375 citations36 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SD2

identity via Semantic Scholar / OpenAlex

most citedRestoring speech intelligibility for hearing aid users with deep learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SD2023

Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users

Peter Udo Diehl, Hannes Zilly, Felix Sattler +11

The hearing loss of almost half a billion people is commonly treated with hearing aids. However, current hearing aids often do not work well in real-world noisy environments. We pr…

cs.SD2022★ 1 cited

Restoring speech intelligibility for hearing aid users with deep learning

Peter Udo Diehl, Yosef Singer, Hannes Zilly +7

Almost half a billion people world-wide suffer from disabling hearing loss. While hearing aids can partially compensate for this, a large proportion of users struggle to understand…

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