madhavmk/Noise2Noise-audio_denoising_without_clean_training_data
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.
Jupyter NotebookMIT
Pinned issues
Issues
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STFT requires return_complex = True
#7 opened by ashish-nagarse - 1
Saved audio file length
#5 opened by joeoct93 - 1
Suspicious requirements.txt file
#6 opened by alimaslax - 1
Model Size and Computation?
#2 opened by yugeshav - 3
requirements.txt for Linux
#3 opened by HarisNaveed17 - 2
I would like to ask how long it takes for such an experiment to run a type of noise, and the minimum equipment requirements
#1 opened by guandachen