Julius Richter

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Stochastic Differential Equations

Diffusion Models

Speech Enhancement

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement. CoRR (2024)
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 (2024)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann
Diffusion Models for Audio Restoration. CoRR (2024)
Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
Single and Few-Step Diffusion for Generative Speech Enhancement. ICASSP (2024)
Julius Richter, Simone Frintrop, Timo Gerkmann
Audio-Visual Speech Enhancement with Score-Based Generative Models. CoRR (2023)
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR (2023)
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 (2023)
Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
Single and Few-step Diffusion for Generative Speech Enhancement. CoRR (2023)
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. INTERSPEECH (2023)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
Speech Signal Improvement Using Causal Generative Diffusion Models. CoRR (2023)
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH (2023)
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 (2023)
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 (2023)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
Speech Signal Improvement Using Causal Generative Diffusion Models. ICASSP (2023)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration. ICASSP (2023)
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. CoRR (2023)
Simon Welker, Julius Richter, Timo Gerkmann
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. INTERSPEECH (2022)
Simon Welker, Julius Richter, Timo Gerkmann
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. CoRR (2022)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
Speech Enhancement and Dereverberation with Diffusion-based Generative Models. CoRR (2022)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration. CoRR (2022)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. CoRR (2022)
Julius Richter, Jeanine Liebold, Timo Gerkamnn
Continuous Phoneme Recognition based on Audio-Visual Modality Fusion. IJCNN (2022)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. WASPAA (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. CoRR (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. CoRR (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. ICASSP (2021)
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)
Julius Richter, Guillaume Carbajal, Timo Gerkmann
Speech Enhancement with Stochastic Temporal Convolutional Networks. INTERSPEECH (2020)