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  • NeuralDSP Technologies
  • Helsinki, Finland

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  1. aes_wimp aes_wimp Public

    Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".

    Python 13 3

  2. tehiru tehiru Public

    Spatial Audio Enhancement for single channel audio data

    C++ 4 2

  3. ASP ASP Public

    Forked from TUIlmenauAMS/ASP

    Audio Signal Processing Python Tools

    Python 11 3

  4. mlsp2017_svsep_skipfilt mlsp2017_svsep_skipfilt Public

    Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"

    Python 13 7

  5. mss_pytorch mss_pytorch Public

    Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

    Python 172 32

  6. sigsep-mus-2018 sigsep-mus-2018 Public

    Forked from sigsep/sigsep-mus-2018

    SiSEC MUS 2018 Submission System

    Python