25 lines
834 B
Markdown
25 lines
834 B
Markdown
# A two-stage U-Net for high-fidelity denoising of historical recordings
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Official repository of the paper:
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> 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
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## Abstract
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abstract here
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<p align="center">
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<img src="https://user-images.githubusercontent.com/64018465/131505025-e4530f55-fe5d-4bf4-ae64-cc9a502e5874.png" alt="Schema represention"
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width="400px"></p>
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## Requirements
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You will need at least python 3.7. See ´requirements.txt´ for the required package versions.
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To install the environment through anaconda, follow the instructions:
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conda env update -f environment.yml
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conda activate historical_denoiser
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## Denosing Recordings
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## Training
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