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README.md
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license: mit
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---
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license: mit
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DeepFilterNet OpenVINO
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This repo stores OpenVINO(TM) models in IR format that are used to perform noise suppression using DeepFilterNet2 & DeepFilterNet3.
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Here is the link to the DeepFilterNet GitHub project:
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https://github.com/Rikorose/DeepFilterNet
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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
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The zip packages stored here, deepfilternet2.zip, and deepfilternet3.zip each contain the following OpenVINO IR (Intermediate Representation) model files:
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```
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enc.xml, enc.bin
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erb_dec.xml, erb_dec.bin
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df_dec.xml, df_dec.bin
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```
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The deepfilternet2.zip IR's were converted from the original onnx models that were downloaded from original DeepFilterNet repo, here:
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https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet2_onnx.tar.gz
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The deepfilternet3.zip IR's were converted from original onnx models that were downloaded from original DeepFilterNet repo, here:
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https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet3_onnx.tar.gz
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# Citations:
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```bibtex
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@inproceedings{schroeter2023deepfilternet3,
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title = {{DeepFilterNet}: Perceptually Motivated Real-Time Speech Enhancement},
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author = {Schröter, Hendrik and Rosenkranz, Tobias and Escalante-B., Alberto N. and Maier, Andreas},
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booktitle={INTERSPEECH},
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year = {2023},
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}
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```
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```bibtex
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@inproceedings{schroeter2022deepfilternet2,
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title = {{DeepFilterNet2}: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio},
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author = {Schröter, Hendrik and Escalante-B., Alberto N. and Rosenkranz, Tobias and Maier, Andreas},
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booktitle={17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022)},
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year = {2022},
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}
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```
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## Intel’s Human Rights Disclaimer:
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Intel is committed to respecting human rights and avoiding complicity in human rights abuses. See Intel's Global Human Rights Principles. Intel's products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right.
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