spleeter for test
Separate and shift vocals and instrumental audio from a YouTube video
Separate audio into vocals, bass, drums, and other
Separate vocals from audio/video files
Using Docker for the first time for the first instance
Separate instrumental and vocal tracks from audio files
Plot vocal pitch from audio
A music separation model
Find choruses in music from YouTube or uploaded MP3 files
Separate audio stems and convert to MIDI
Convert and separate audio using vocal models
music-transform
VoiceReplacer
Spleeter is an open-source AI tool developed by Deezer that allows users to separate audio files into vocals and instrumental tracks. It leverages cutting-edge machine learning models to deliver high-quality results, making it a popular choice for music producers, remixers, and audio enthusiasts.
• High-quality vocal and instrumental separation: Spleeter uses advanced AI algorithms to split audio tracks accurately.
• Open-source and customizable: Users can customize the source code to suit specific needs or experiment with different models.
• Support for multiple audio formats: Works seamlessly with popular formats like WAV, MP3, and FLAC.
• User-friendly interface: Accessible for both technical and non-technical users.
• Support for stem output: Outputs separated tracks (vocals, instruments, etc.) for flexible post-production use.
What formats does Spleeter support?
Spleeter supports common audio formats like WAV, MP3, and FLAC.
How accurate is the separation?
Separation accuracy depends on the song's complexity and quality, but Spleeter generally delivers impressive results for its class.
Where are the output files saved?
Output files are saved in the directory you specify during the execution process.