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researcher

H. Gamper

20 papers hereh-index 242.4k citations86 works total

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

author position
  • first author1
  • middle author13
  • last author6

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • eess.AS14
  • cs.SD5
  • cs.LG1
same name
  • H. Gamper — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedFast acoustic scattering using convolutional neural networks

7 citations · 18 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023★ 1 cited

CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling

Ruihan Yang, Hannes Gamper, Sebastian Braun

We introduce a multi-modal diffusion model tailored for the bi-directional conditional generation of video and audio. We propose a joint contrastive training loss to improve the sy…

eess.AS2023★ 2 cited

Adapting Frechet Audio Distance for Generative Music Evaluation

Azalea Gui, Hannes Gamper, Sebastian Braun +1

The growing popularity of generative music models underlines the need for perceptually relevant, objective music quality metrics. The Frechet Audio Distance (FAD) is commonly used…

eess.AS2023

ICASSP 2023 Acoustic Echo Cancellation Challenge

Ross Cutler, Ando Saabas, Tanel Parnamaa +7

The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and is…

cs.SD2023

ICASSP 2023 Deep Noise Suppression Challenge

Harishchandra Dubey, Ashkan Aazami, Vishak Gopal +9

Deep Speech Enhancement Challenge is the 5th edition of deep noise suppression (DNS) challenges organized at ICASSP 2023 Signal Processing Grand Challenges. DNS challenges were org…

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