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Julius Richter
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Speech enhancement and dereverberation with diffusion-based generative models
J Richter, S Welker, JM Lemercier, B Lay, T Gerkmann
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 2351-2364, 2023
1042023
Speech enhancement with score-based generative models in the complex STFT domain
S Welker, J Richter, T Gerkmann
ISCA Interspeech, 2022
742022
Storm: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation
JM Lemercier, J Richter, S Welker, T Gerkmann
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
412023
Speech enhancement with stochastic temporal convolutional networks
J Richter, G Carbajal, T Gerkmann
ISCA Interspeech, 4516-4520, 2020
272020
Analysing diffusion-based generative approaches versus discriminative approaches for speech restoration
JM Lemercier, J Richter, S Welker, T Gerkmann
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
202023
Guided variational autoencoder for speech enhancement with a supervised classifier
G Carbajal, J Richter, T Gerkmann
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
192021
Disentanglement learning for variational autoencoders applied to audio-visual speech enhancement
G Carbajal, J Richter, T Gerkmann
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
162021
Reducing the prior mismatch of stochastic differential equations for diffusion-based speech enhancement
B Lay, S Welker, J Richter, T Gerkmann
ISCA Interspeech, 2023
132023
Audio-visual speech separation in noisy environments with a lightweight iterative model
H Martel, J Richter, K Li, X Hu, T Gerkmann
arXiv preprint arXiv:2306.00160, 2023
62023
Speech signal improvement using causal generative diffusion models
J Richter, S Welker, JM Lemercier, B Lay, T Peer, T Gerkmann
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
42023
Audio-visual speech enhancement with score-based generative models
J Richter, S Frintrop, T Gerkmann
Speech Communication; 15th ITG Conference, 275-279, 2023
32023
Single and few-step diffusion for generative speech enhancement
B Lay, JM Lermercier, J Richter, T Gerkmann
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Causal Diffusion Models for Generalized Speech Enhancement
J Richter, S Welker, JM Lemercier, B Lay, T Peer, T Gerkmann
IEEE Open Journal of Signal Processing, 2024
22024
Continuous phoneme recognition based on audio-visual modality fusion
J Richter, J Liebold, T Gerkamnn
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
22022
Improving mix-and-separate training in audio-visual sound source separation with an object prior
Q Nguyen, J Richter, M Lauri, T Gerkmann, S Frintrop
2020 25th International Conference on Pattern Recognition (ICPR), 5844-5851, 2021
22021
Diffusion Models for Audio Restoration
JM Lemercier, J Richter, S Welker, E Moliner, V Välimäki, T Gerkmann
arXiv preprint arXiv:2402.09821, 2024
12024
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings
D de Oliveira, J Richter, JM Lemercier, T Peer, T Gerkmann
Speech Communication; 15th ITG Conference, 260-264, 2023
12023
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
J Richter, YC Wu, S Krenn, S Welker, B Lay, S Watanabe, A Richard, ...
arXiv preprint arXiv:2406.06185, 2024
2024
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
D de Oliveira, S Welker, J Richter, T Gerkmann
arXiv preprint arXiv:2406.03460, 2024
2024
Style-Specific Beat Tracking with Deep Neural Networks
J Richter
Technical University of Berlin, 2019
2019
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Articles 1–20