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H. Puder

3 papers hereh-index 161.6k citations80 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.AS3

identity via Semantic Scholar / OpenAlex

most citedDeep Denoising for Hearing Aid Applications

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2026

DNN-Based Frequency-Dependent Estimation of Speech, Music, and Noise Power in Acoustic Mixtures for Hearing-Aid Scene Analysis

Mats Lang, Thomas Haubner, Nina Kiessling +2

Acoustic scene analysis is essential for adapting hearing-aid signal processing algorithms to the current listening environment. However, state-of-the-art (SOTA) systems typically…

eess.AS2026

A Novel Binaural Cue Preservation Loss for DNN-Based Binaural Speech Enhancement

Jayteerth Amble, Thomas Haubner, Hendrik Schröter +2

Binaural speech enhancement for hearing aids aims to reduce noise while preserving the interaural cues needed for spatial localization. Although deep neural network-based methods a…

eess.AS2018★ 8 cited

Deep Denoising for Hearing Aid Applications

Marc Aubreville, Kai Ehrensperger, Tobias Rosenkranz +3

Reduction of unwanted environmental noises is an important feature of today's hearing aids (HA), which is why noise reduction is nowadays included in almost every commercially avai…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.