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| conf | ||
| experiments/trained_model | ||
| dataset_loader.py | ||
| environment.yml | ||
| inference.py | ||
| inference.sh | ||
| README.md | ||
| requirements.txt | ||
| train.py | ||
| train.sh | ||
| trainer.py | ||
| unet.py | ||
A two-stage U-Net for high-fidelity denoising of historical recordings
Official repository of the paper:
E. Moliner and V. Välimäki,, "A two-stage U-Net for high-fidelity denosing of historical recordinds", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, May, 2022
Abstract
abstract here
Requirements
You will need at least python 3.7. See ´requirements.txt´ for the required package versions.
To install the environment through anaconda, follow the instructions:
conda env update -f environment.yml
conda activate historical_denoiser