csteinmetz1/automix-toolkit
Models and datasets for training deep learning automatic mixing models
This toolkit helps audio engineers and music producers automate the process of mixing multi-track audio recordings. You provide individual instrument tracks (stems), and it generates a polished, combined stereo mix. This is especially useful for those working with large volumes of audio who want to streamline their mixing workflow.
109 stars. No commits in the last 6 months.
Use this if you are an audio professional or researcher looking to automatically combine separate instrument tracks into a single, balanced mix.
Not ideal if you require precise manual control over every mixing parameter or are working on a creative project where human artistic judgment is paramount.
Stars
109
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 28, 2024
Commits (30d)
0
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