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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.
## 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
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.