This repository contains the official PyTorch implementations for the 2022 papers:
-[*Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain*](https://arxiv.org/abs/2203.17004), 2022 [1]
-[*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]
-[*Speech Enhancement and Dereverberation with Diffusion-Based Generative Models*](https://arxiv.org/abs/2208.05830), 2022 [2]
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.
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>[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
- Create a new virtual environment with Python 3.8 (we have not tested other Python versions, but they may work).
