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Julius Richter
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2020 – today
- 2024
- [c11]Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann:
Single and Few-Step Diffusion for Generative Speech Enhancement. ICASSP 2024: 626-630 - [i17]Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann:
Diffusion Models for Audio Restoration. CoRR abs/2402.09821 (2024) - [i16]Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann:
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement. CoRR abs/2406.03460 (2024) - [i15]Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann:
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. CoRR abs/2406.06185 (2024) - [i14]Julius Richter, Danilo de Oliveira, Timo Gerkmann:
Investigating Training Objectives for Generative Speech Enhancement. CoRR abs/2409.10753 (2024) - [i13]Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann:
Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech. CoRR abs/2410.17834 (2024) - 2023
- [j2]Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann:
Speech Enhancement and Dereverberation With Diffusion-Based Generative Models. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2351-2364 (2023) - [j1]Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann:
StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2724-2737 (2023) - [c10]Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann:
Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration. ICASSP 2023: 1-5 - [c9]Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann:
Speech Signal Improvement Using Causal Generative Diffusion Models. ICASSP 2023: 1-2 - [c8]Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann:
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH 2023: 1673-1677 - [c7]Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann:
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. INTERSPEECH 2023: 3809-3813 - [i12]Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann:
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. CoRR abs/2302.14748 (2023) - [i11]Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann:
Speech Signal Improvement Using Causal Generative Diffusion Models. CoRR abs/2303.08674 (2023) - [i10]Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann:
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR abs/2306.00160 (2023) - [i9]Julius Richter, Simone Frintrop, Timo Gerkmann:
Audio-Visual Speech Enhancement with Score-Based Generative Models. CoRR abs/2306.01432 (2023) - [i8]Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann:
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings. CoRR abs/2306.03014 (2023) - [i7]Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann:
Single and Few-step Diffusion for Generative Speech Enhancement. CoRR abs/2309.09677 (2023) - 2022
- [c6]Julius Richter, Jeanine Liebold, Timo Gerkmann:
Continuous Phoneme Recognition based on Audio-Visual Modality Fusion. IJCNN 2022: 1-8 - [c5]Simon Welker, Julius Richter, Timo Gerkmann:
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. INTERSPEECH 2022: 2928-2932 - [i6]Simon Welker, Julius Richter, Timo Gerkmann:
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. CoRR abs/2203.17004 (2022) - [i5]Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann:
Speech Enhancement and Dereverberation with Diffusion-based Generative Models. CoRR abs/2208.05830 (2022) - [i4]Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann:
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration. CoRR abs/2211.02397 (2022) - [i3]Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann:
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. CoRR abs/2212.11851 (2022) - 2021
- [c4]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. ICASSP 2021: 681-685 - [c3]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. WASPAA 2021: 126-130 - [i2]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. CoRR abs/2102.06454 (2021) - [i1]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. CoRR abs/2105.08970 (2021) - 2020
- [c2]Quan Nguyen, Julius Richter, Mikko Lauri, Timo Gerkmann, Simone Frintrop:
Improving mix-and-separate training in audio-visual sound source separation with an object prior. ICPR 2020: 5844-5851 - [c1]Julius Richter, Guillaume Carbajal, Timo Gerkmann:
Speech Enhancement with Stochastic Temporal Convolutional Networks. INTERSPEECH 2020: 4516-4520
Coauthor Index
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last updated on 2024-12-01 00:15 CET by the dblp team
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