6 journal papers in 2023
25 June 2023, by David Mosteller
We are happy to announce the acceptance and publications of the following 6 journal papers in 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, Language Proc., Vol. 31, pp. 2724 - 2737, 2023. [arxiv][code][audio]
- 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, Language Proc., Vol. 31, pp. 2351 - 2364, 2023. [doi] [arxiv] [code] [audio]
- Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann, "End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning", IEEE Transactions on Affective Computing, accepted. [doi] [arxiv] [code]
- Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann, "A Neural Network-supported Two-Stage Algorithm for Lightweight Dereverberation on Hearing Devices", EURASIP Journal on Audio, Speech, and Music Processing, Vol 18, 2023. [arxiv][doi][audio]
- Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann, "Integrating Uncertainty into Neural Network-based Speech Enhancement", IEEE/ACM Trans. Audio, Speech, Language Proc., Vol. 31, pp. 1587-1600, 2023. [doi]
- Kristina Tesch, Timo Gerkmann, "Insights into Deep Non-linear Filters for Improved Multi-channel Speech Enhancement", IEEE/ACM Trans. Audio, Speech, Language Proc., Vol. 31, pp. 563-575, 2023. [doi][arxiv][code][audio]