# 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

<p align="center">
<img src="https://user-images.githubusercontent.com/64018465/131505025-e4530f55-fe5d-4bf4-ae64-cc9a502e5874.png" alt="Schema represention"
width="400px"></p>

## 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

## Denosing Recordings

## Training