Scholar
Julius Richter
Google Scholar ID: 3aOLkKwAAAAJ
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Generative modeling
multimodal learning
speech enhancement
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Citations & Impact
All-time
Citations
1,017
H-index
15
i10-index
17
Publications
20
Co-authors
5
list available
Publications
11 items
Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching
2026
Cited
0
Predictive-Generative Drift Decomposition for Speech Enhancement and Separation
2026
Cited
0
Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
2025
Cited
0
SAM Audio: Segment Anything in Audio
2025
Cited
1
ArtiFree: Detecting and Reducing Generative Artifacts in Diffusion-based Speech Enhancement
2025
Cited
0
ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation
2025
Cited
0
LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models
2025
Cited
0
Normalize Everything: A Preconditioned Magnitude-Preserving Architecture for Diffusion-Based Speech Enhancement
2025
Cited
0
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Co-authors
4 total
Timo Gerkmann
Signal Processing, Computer Science Department, Universität Hamburg, Germany
Simon Welker
Universität Hamburg
Jean-Marie Lemercier
NVIDIA
Danilo de Oliveira
University of Hamburg
