Repository: madhavmk/Noise2Noise-audio_denoising_without_clean_training_data
Description: Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach".  Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
Languages: Jupyter Notebook,Python
Stars: 185
License: MIT License