DeepFilterNet OpenVINO

This repo stores OpenVINO(TM) models in IR format that are used to perform noise suppression using DeepFilterNet2 & DeepFilterNet3.

Here is the link to the DeepFilterNet GitHub project: https://github.com/Rikorose/DeepFilterNet

This is intended to be used with the set of OpenVINO-based AI plugins for Audacity(R), here: https://github.com/intel/openvino-plugins-ai-audacity

The zip packages stored here, deepfilternet2.zip, and deepfilternet3.zip each contain the following OpenVINO IR (Intermediate Representation) model files:

enc.xml, enc.bin
erb_dec.xml, erb_dec.bin
df_dec.xml, df_dec.bin

The deepfilternet2.zip IR's were converted from the original onnx models that were downloaded from original DeepFilterNet repo, here: https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet2_onnx.tar.gz

The deepfilternet3.zip IR's were converted from original onnx models that were downloaded from original DeepFilterNet repo, here: https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet3_onnx.tar.gz

Citations:

@inproceedings{schroeter2023deepfilternet3,
  title = {{DeepFilterNet}: Perceptually Motivated Real-Time Speech Enhancement},
  author = {Schröter, Hendrik and Rosenkranz, Tobias and Escalante-B., Alberto N. and Maier, Andreas},
  booktitle={INTERSPEECH},
  year = {2023},
}

@inproceedings{schroeter2022deepfilternet2,
  title = {{DeepFilterNet2}: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio},
  author = {Schröter, Hendrik and Escalante-B., Alberto N. and Rosenkranz, Tobias and Maier, Andreas},
  booktitle={17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022)},
  year = {2022},
}

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