new tags currently being written to my MP3s for #navidrome
https://github.com/WB2024/Essentia-to-Metadata
GitHub - WB2024/Essentia-to-Metadata: Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models

Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models - WB2024/Essentia-to-Metadata

GitHub

@hikingdude weird! Not a job I'd ever think of wanting a machine to do, honestly. What benefit do you gain by having the music tagged by genre, energy, etc? It seems to me that I want to be the one curating the lists.

On the other hand, if there was a way to locally generate "song radio" like how Spotify does, I would be all over that!!!

@semitones
I noticed that I had the Genre set already for most of the albums anyways. But I wanted to see how well it works anyways.

But I tried tagging the mood.
I want to try the smart playlists in the next step: https://github.com/WB2024/WBs-Guide-to-Navidrome#-step-7-create-smart-playlists

GitHub - WB2024/WBs-Guide-to-Navidrome: A complete, beginner-friendly guide to building the ultimate self-hosted music server with Navidrome — covering Docker setup, music tagging with Picard, genre fixing, smart playlists, radio stations, remote access, and more.

A complete, beginner-friendly guide to building the ultimate self-hosted music server with Navidrome — covering Docker setup, music tagging with Picard, genre fixing, smart playlists, radio station...

GitHub