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Eloi Moliner Juanpere 2022-05-05 10:47:26 +03:00 committed by GitHub
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@ -40,7 +40,13 @@ If the environment is installed correctly, you can denoise an audio file by runn
A ".wav" file with the denoised version, as well as the residual noise and the original signal in "mono", will be generated in the same directory as the input file. A ".wav" file with the denoised version, as well as the residual noise and the original signal in "mono", will be generated in the same directory as the input file.
## Training ## Training
TODO To retrain the model, follow the instructions:
Download the [Gramophone Noise Dataset](http://research.spa.aalto.fi/publications/papers/icassp22-denoising/media/datasets/Gramophone_Record_Noise_Dataset.zip), or any other dataset containing recording noises.
Prepare a dataset of clean music (e.g. [MusicNet](https://zenodo.org/record/5120004#.YnN-96IzbmE))
## Remarks ## Remarks
The trained model is specialized in denoising gramophone recordings, such as the ones included in this collection https://archive.org/details/georgeblood. It has shown to be robust to a wide range of different noises, but it may produce some artifacts if you try to inference in something completely different. The trained model is specialized in denoising gramophone recordings, such as the ones included in this collection https://archive.org/details/georgeblood. It has shown to be robust to a wide range of different noises, but it may produce some artifacts if you try to inference in something completely different.