mohammadreza490/music-source-separation-using-Unets
This repo explores the concept of blind source separation by training a U-Net model that separated a song into its vocal and accompaniments
This tool helps musicians, audio engineers, or content creators isolate different parts of a song. You provide a complete music track, and it separates the vocals from the instrumental accompaniment. This is useful for creating karaoke tracks, remixes, or analyzing song components.
No commits in the last 6 months.
Use this if you need to reliably separate the vocal track from the instrumental background in a piece of music.
Not ideal if you need to separate individual instruments like drums, bass, or guitar, as it focuses specifically on vocals versus accompaniment.
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Language
Python
License
MIT
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Last pushed
Jul 03, 2023
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