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Timo Gerkmann — most-cited papers & profile · Large Language Models
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Timo Gerkmann
30
papers ·
38
citations ·
31
h-index
Universität Hamburg · Signal Processing (United States) · Hamburg University of Technology
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Most-cited papers
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier
2021 · 16 citations
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement
2021 · 14 citations
DriftRec: Adapting diffusion models to blind JPEG restoration
2022 · 5 citations
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
2022 · 4 citations
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
2022 · 3 citations
Audio-Visual Speech Enhancement with Score-Based Generative Models
2023 · 3 citations
Are These Even Words? Quantifying the Gibberishness of Generative Speech Models
2025 · 2 citations
Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance
2025 · 2 citations
ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation
2025 · 2 citations
Real-Time Streaming Mel Vocoding with Generative Flow Matching
2025 · 1 citations
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
2020 · 1 citations
Diffusion Models for Audio Restoration
2024 · 1 citations
Diffusion Buffer for Online Generative Speech Enhancement
2025
Diffusion Buffer for Online Generative Speech Enhancement
2025
Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks?
2025
Topics
Audio Generation
Diffusion Models
Speech Enhancement
Training & Sampling
Audio Understanding
Text-to-Speech
Speech Recognition
Speaker Analysis
Conditioning & Control
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