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Achievements

Achievements

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  1. PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

    Python 74 22

  2. A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

    Python 128 26

  3. Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

    Python 116 37

  4. Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

    Python 68 21

  5. Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".

    Python 8 3

377 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri

Contribution activity

April 2021

Created 11 commits in 1 repository
Created 1 repository
24 contributions in private repositories Apr 1 – Apr 28

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