Tip: For speech separation beginners, I recommend you to read "deep clustering" & "PIT&uPIT" works which will help understand the problem.
If you have found the code for some of the articles below, welcome to add links.
Pure Speech Separation
✔️ [Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation, Po-Sen Huang, TASLP 2015] [Paper][Code (posenhuang)]
✔️ [Complex Ratio Masking for Monaural Speech Separation, DS Williamson, TASLP 2015] [Paper]
✔️ [Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks, M Kolbæk, TASLP 2017] [Paper][Code (Kai Li)]
✔️ [Deep attractor network for single-microphone speaker separation, Zhuo Chen, ICASSP 2017] [Paper][Code (Kai Li)]
✔️ [Alternative Objective Functions for Deep Clustering, Zhong-Qiu Wang, ICASSP 2018] [Paper]
✔️ [End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang et al. 2018] [Paper]
✔️ [Speaker-independent Speech Separation with Deep Attractor Network, Luo Yi, TASLP 2018] [Paper][Code (Kai Li)]
✔️ [Tasnet: time-domain audio separation network for real-time, single-channel speech separation, Luo Yi, ICASSP 2018] [Paper][Code (Kai Li)][Code (asteroid)]
✔️ [Supervised Speech Separation Based on Deep Learning An Overview,DeLiang Wang, Arxiv 2018] [Paper]
✔️ [The Sound of Pixels, Hang Zhao, ECCV 2018] [Paper][Code]
✔️ [Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation, ARIEL EPHRAT, ACM Transactions on Graphics 2018] [Paper][Code]
✔️ [Learning to Separate Object Sounds by Watching Unlabeled Video, Ruohan Gao, ECCV 2018] [Paper]
I may not be able to get all the articles completely. So if you have an excellent essay or tutorial, you can update it in my format. At the same time, if you think the repository meets your needs, please give a star or fork, thank you.