The core of my graduation project that uses convolutional neural networks to extract the vocal part from a song by removing the sound of musical instruments. The project is rather academic, it did not achieve too great real results, but this is expected. I'm not going to develop it further.

Mirror from github enterprise; bachelor thesis; timbre transfer with DDSP and tensorflow

A Matlab script for converting the stereo DSD100 dataset to an ambisonic B-format ADSD100

Genre regognition and source sepatation algorithms in Python

Audio processing project (In GNU Octave/MatLab language) to extract vocals from an original song if there also is the instrumental version

This repository focuses on algorithms, models, and techniques for isolating and extracting individual sources from mixed audio signals using advanced machine learning methods.

Deezer source separation library including pretrained models.

Separation models for Audio Fingerprinting

Project for CMU 10-617 Deep Learning

A single-channel source separation project that aims to determine the speakers at a given time and estimate each speaker's total speaking time from the audio recordings.

语音前端仓库 || a modified version of Asteroid toolkit for Speech Front-end

Musical Source Separation

A web application for generating music that sounds like the Grateful Dead.

A Fast Speech Enhancement toolkit using Conv-TasNet

Code to partially reproduce results in "Unearthing InSights into Mars: Unsupervised source separation with limited data", ICML 2023

A course project for DA 623: Computing with Signals. We investigate the use of Non-negative Matrix Factorization for speaker diarization and source separation.

Contrastive-NMF algorithm

Script Matlab / Octave Skripsi/Tugas Akhir S1 bagustris

Autoregressive Generation and Source Separation of Multi-source Raw Music using Residual Quantization