Julius Richter

According to our database, Julius Richter authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech.

Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann

CoRR, 2024

Investigating Training Objectives for Generative Speech Enhancement.

Julius Richter, Danilo de Oliveira, Timo Gerkmann

CoRR, 2024

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation.

Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann

CoRR, 2024

The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement.

Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann

CoRR, 2024

Diffusion Models for Audio Restoration.

Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann

CoRR, 2024

Single and Few-Step Diffusion for Generative Speech Enhancement.

Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Speech Enhancement and Dereverberation With Diffusion-Based Generative Models.

Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann

IEEE ACM Trans. Audio Speech Lang. Process., 2023

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation.

Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann

IEEE ACM Trans. Audio Speech Lang. Process., 2023

On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings.

Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann

CoRR, 2023

Audio-Visual Speech Enhancement with Score-Based Generative Models.

Julius Richter, Simone Frintrop, Timo Gerkmann

CoRR, 2023

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model.

Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement.

Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Speech Signal Improvement Using Causal Generative Diffusion Models.

Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2023

Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration.

Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain.

Simon Welker, Julius Richter, Timo Gerkmann

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Continuous Phoneme Recognition based on Audio-Visual Modality Fusion.

Julius Richter, Jeanine Liebold, Timo Gerkmann

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement.

Guillaume Carbajal, Julius Richter, Timo Gerkmann

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier.

Guillaume Carbajal, Julius Richter, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Speech Enhancement with Stochastic Temporal Convolutional Networks.

Julius Richter, Guillaume Carbajal, Timo Gerkmann

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Improving mix-and-separate training in audio-visual sound source separation with an object prior.

Quan Nguyen, Julius Richter, Mikko Lauri, Timo Gerkmann, Simone Frintrop

Proceedings of the 25th International Conference on Pattern Recognition, 2020