This repository contains the official PyTorch implementations for the 2022 papers:
This repository contains the official PyTorch implementations for the 2022 papers:
-[*Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain*](https://www.isca-speech.org/archive/interspeech_2022/welker22_interspeech.html), 2022 [1]
-Simon Welker, Julius Richter, Timo Gerkmann. [*"Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain"*](https://www.isca-speech.org/archive/interspeech_2022/welker22_interspeech.html), ISCA Interspeech, Incheon, Korea, Sep. 2022.[bibtex](#Citations-/-References)
-[*Speech Enhancement and Dereverberation with Diffusion-Based Generative Models*](https://arxiv.org/abs/2208.05830), 2022 [2]
-Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann. [*"Speech Enhancement and Dereverberation with Diffusion-Based Generative Models"*](https://arxiv.org/abs/2208.05830), *arXiv preprint arXiv:2208.05830*, 2022.[bibtex](#Citations-/-References)
Audio examples and further supplementary materials are available [on our project page](https://www.inf.uni-hamburg.de/en/inst/ab/sp/publications/sgmse).
Audio examples and further supplementary materials are available [on our project page](https://www.inf.uni-hamburg.de/en/inst/ab/sp/publications/sgmse).
[1] Simon Welker, Julius Richter, Timo Gerkmann. "Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain", ISCA Interspeech, Incheon, Korea, Sep. 2022.
[2] Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann. "Speech Enhancement and Dereverberation with Diffusion-Based Generative Models", *arXiv preprint arXiv:2208.05830*, 2022.
## Installation
## Installation
- Create a new virtual environment with Python 3.8 (we have not tested other Python versions, but they may work).
- Create a new virtual environment with Python 3.8 (we have not tested other Python versions, but they may work).
