Neural network model for audio source separation task
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Updated
May 22, 2023 - Python
Neural network model for audio source separation task
Testing The Efficiency of WaveUNet as an Audio Source Separation model
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Spectral Mapping of Singing Voices: U-Net-Assisted Vocal Segmentation
audio source separation applications
Matlab GUIs to demo the original REPET and REPET-SIM.
Audio Source Separation using the Non Negative Matrix Multiplication
Matlab GUI for uREPET, a simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds.
Piano Concerto Source Separation Pipeline
REPeating Pattern Extraction Technique (REPET) in Python for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, online REPET-SIM
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.
REPeating Pattern Extraction Technique (REPET) in Matlab for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, REPET-SIM online
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"
The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
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