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@@ -9,6 +9,13 @@ This repository contains the official PyTorch implementations for the 2022 paper
 
 Audio examples and further supplementary materials are available [on our project page](https://www.inf.uni-hamburg.de/en/inst/ab/sp/publications/sgmse).
 
+## Follow-up work
+
+Please also check out our follow-up work with code available: 
+
+- Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann, [*"StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation"](https://arxiv.org/abs/2212.11851), submitted to IEEE/ACM Trans. on Audio, Speech, Language Proc. (TASLP). [[code]](https://github.com/sp-uhh/storm)
+- Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann [*"Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement"](https://arxiv.org/abs/2302.14748), ISCA Interspeech, Dublin, Ireland, Aug. 2023 [[code]](https://github.com/sp-uhh/sgmse-bbed)
+
 ## Installation
 
 - Create a new virtual environment with Python 3.8 (we have not tested other Python versions, but they may work).