The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
-
Updated
Jul 14, 2022 - Python
The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
A Python toolkit for sound source separation.
A local GUI music source separation tool built on Tkinter and demucs serving as a free and open source Stem Player
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Karaokey is a vocal remover that automatically separates the vocals and instruments. A deep learning model based on LSTMs has been trained to tackle the source separation. The model learns the particularities of music signals through its temporal structure.
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Piano Concerto Source Separation Pipeline
Neural network model for audio source separation task
Testing The Efficiency of WaveUNet as an Audio Source Separation model
Prototype AI-driven web application that analyzes and transcribes musical compositions by extracting notes and chords from audio files. The system employs advanced machine learning and audio processing techniques.
Add a description, image, and links to the audio-source-separation topic page so that developers can more easily learn about it.
To associate your repository with the audio-source-separation topic, visit your repo's landing page and select "manage topics."