Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of first stage is 3.42 and second stage is 3.47.

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Deep Learning SDDNet
Overview

SDDNet

Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of the first stage is 3.42 and the second stage is 3.47. For the third stage, the DNSMOS is low, but the Noise reduction ability and speech quality is improvement.

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Comments
  • missing time_dataset_dereverb

    missing time_dataset_dereverb

    Hi, friend I am learning about sddnet. Thanks for open the implement of sddnet. I try to run the script. But it can not find the modul of time_dataset_dereverb. If it is possible to share the datareader, processer and maker_loader moduls. Hoping for your reply.

    opened by JinmingChe 2
  • Question about the network latency

    Question about the network latency

    Thanks for your fantastic project! But I remind that the code in dnnet.py using 1 future frame for each convtransposed2d layer, how do you achieve the 30ms latency? Or could you give me some advices if I had made mistakes, Thank you!

    opened by Chengwei-Ouyang 0
Owner
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Cyril Lv
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