[FEATURE] AudioMuse-AI for sonic analysis #600
Description
Hi,
I’m the developer of AudioMuse-AI, that based on sonic analysis enable the user the creation of automatic playlist creation.
It is free, open source and selfhostable, and after an initial analysis of the song library (all runned on the user server) it enable the user to use different function like:
- song similarity: you put a so my and it find the song that are similar;
- clustering: it automatically create playlist of similar song;
- song path: you have two song and it create a path of song between them;
- sonic fingerprint: it create a playlist of similar song to the one that the user play most and recently;
All this functional actually are lunched from the Open Subosnic API user from the AudioMuse-AI integrated frontend. Will be wonderful if media server star integrate it directly in their backend and frontend enabling the user to use this functionality from the same frontend where they play music (used externally audiomuse-ai create playlist by APi, integrated in the media server could maybe directly interact with the play queue for a better usability).
You can found more here:
https://github.com/NeptuneHub/AudioMuse-AI
Let me know if you have any question. Thanks !