Music source separation system using deep learning. Developed in Python

• demucs

  108 7,621 5.9 Python

  Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.

  

The quality may not be as good as the state of the art systems such as speelter and demucs but as a model that was trained on much limited dataset and in a limited timeframe, it performs well.

• spleeter

  230 24,878 1.5 Python

  Deezer source separation library including pretrained models.

  

The quality may not be as good as the state of the art systems such as speelter and demucs but as a model that was trained on much limited dataset and in a limited timeframe, it performs well.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• music-source-separation-using-Unets

  1 20 1.8 Python

  This repo explores the concept of blind source separation by training a U-Net model that separated a song into its vocal and accompaniments

Please have a look at the project repo and read my project report where I explained the system in detail.

• stemroller

  37 2,399 3.1 Svelte

  Isolate vocals, drums, bass, and other instrumental stems from any song

  

Very interesting. I saw this repo posted on hacker news this past Friday. It uses demucs.

Suggest a related project