An Open-Source Project to Unify Audio Processing and Generation
-
Updated
Jan 29, 2026 - Python
An Open-Source Project to Unify Audio Processing and Generation
🩺🎧 Fix all your podcast, video or live stream audio! 🎧🩺
Mp3 to wav super resolution model for audio restoration & enhancement. U-Net + Discrete Wavelet Transform (DWT) Architecture
bin2bin, a Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment
A research based project which uses steganography and ML/deep learning algorithm to reconstruct the lost audio signals from a corrupted file.
🔬 AI-powered audio restoration platform implementing breakthrough research in blind enhancement. Transform any corrupted audio - speech, music, recordings - into professional quality through Self-Organized Neural Networks and advanced source separation. The future of audio recovery.
Short-Time Spectral Attenuator, plus attempt to reverse the process in order to have a noise-based music effect
A high-performance C++ port of HRAudioWizard - an audio enhancement tool that uses high-frequency compensation (HFC) to improve the quality of low-fidelity recordings by synthesizing plausible high-frequency content.
McGill University - Digital Audio Signal Processing
🎧 Enhance MP3 audio quality by removing compression artifacts with a wavelet-based deep learning model for superior sound restoration.
Code and demo site for complex-bin2bin speech signals inpainting
A studio-grade, fully automated VHS audio restoration suite. Uses a hybrid AI engine to separate and clean vocals while preserving background music and singing voices. Includes RTX 5090 fallback support.
A high-performance local AI pipeline for restoring VHS audio, transcribing with Whisper, and translating subtitles using NLLB-200.
It is a professional-grade digital audio workstation designed for precision waveform editing, complex multitrack mixing, and industry-leading audio restoration for film, broadcast, and podcasting
Add a description, image, and links to the audio-restoration topic page so that developers can more easily learn about it.
To associate your repository with the audio-restoration topic, visit your repo's landing page and select "manage topics."