Pytorch based speech enhancement toolkit.

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 denoisi…

A C++ based, lightweight music and noise remover for YouTube and other internet media, using DeepFilterNet for audio enhancement.

Real-time Virtual Bass Enhancement System

DEVINYL - Recover vynils beyond recovering

Web application of Deep learning for audio denoising. Check licenses!!!

A research based project which uses steganography and ML/deep learning algorithm to reconstruct the lost audio signals from a corrupted file.

Media player written in pure Python with sound remastering on the go.

Open source project. The team's goal is to develop a machine learning model that will improve audio quality (remove noise and unnecessary sounds)