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Removed AcousticBrainz support. fixes #221

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emeric
2023-01-15 15:03:12 +01:00
parent b681a20b5a
commit 69f7b89d33
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README.md
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@@ -9,7 +9,8 @@ A [demo instance](http://lms-demo.poupon.dev) is available. Note the administrat
## Main features
* Recommendation engine
* Audio transcode for maximum interoperability and low bandwith requirements
* Multi-value tags: `artist`, `genre`, `composer`, `lyricist`, `mood`, `performer`, ...
* Multi-value tags: `genre`, `albumgenre`, `mood`, `albummood`, `albumgrouping`, ...
* Artist relationships: `composer`, `conductor`, `lyricist`, `mixer`, `performer`, `producer`, `remixer`
* [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) support to handle duplicated artist and release names
* [ListenBrainz](https://listenbrainz.org) support for:
* Scrobbling and synchronizing listens
@@ -22,7 +23,7 @@ A [demo instance](http://lms-demo.poupon.dev) is available. Note the administrat
_LMS_ provides several ways to help you find the music you like:
* Tag-based filters (ex: _Rock_, _Metal_ and _Aggressive_, _Electronic_ and _Relaxed_, ...)
* Recommendations for similar artists and albums
* Radio mode, based on what is in the current playqueue
* Radio mode, with endless filling of the play queue with tracks similar to what is there
* Searches in album, artist and track names (including sort names)
* Starred Albums/Artists/Tracks
* Various tags to help you filter your music: _mood_, _albummood_, _albumgenre_, _albumgrouping_, ...
@@ -33,17 +34,8 @@ _LMS_ provides several ways to help you find the music you like:
* Starred _Jazz_ albums
* ...
The recommendation engine uses two different sources:
1. Tags that are present in the audio files
2. Acoustic similarities of the audio files, using a trained [Self-Organizing Map](https://en.wikipedia.org/wiki/Self-organizing_map)
__Notes on the self-organizing map__:
* training the map requires significant computation time on large collections (ex: half an hour for 40k tracks using a Core i5)
* audio acoustic data is pulled from [AcousticBrainz](https://acousticbrainz.org/). Therefore your audio files _must_ contain the [recording](https://musicbrainz.org/doc/Recording) [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier).
* to enable the audio similarity source, you have to enable it first in the administration panel.
## Subsonic API
The API version implemented is 1.16.0 and has been tested on _Android_ using _Subsonic Player_, _Ultrasonic_ and _DSub_.
The API version implemented is 1.16.0 and has been tested on _Android_ using _Subsonic Player_, _Ultrasonic_, _Symfonium_, and _DSub_.
Since _LMS_ uses metadata tags to organize music, a compatibility mode is used to browse the collection when using the directory browsing commands.
The Subsonic API is enabled by default.
@@ -53,9 +45,11 @@ __Note__: since _LMS_ may store hashed and salted passwords or may forward authe
_LMS_ relies exclusively on tags to organize your music collection.
### Filtering
You can specify the tags you want to be used to filter your collection. By default, `GENRE`, `ALBUMGROUPING`, `MOOD` and `ALBUMMOOD` tags are used.
You can specify the tags you want to use to filter your collection. By default, `genre`, `albumgrouping`, `mood` and `albummood` tags are used.
In the administration panel, you can set whatever tags you want, even custom tags.
__Note__: you can use the `lms-metadata` tool to have an idea of the tags parsed by _LMS_ using [TagLib](https://github.com/taglib/taglib).
### Multiple album artists
_LMS_ requires the `ALBUMARTISTS` and `ALBUMARTISTSSORT` tags to properly handle multiple album artists on the same album. As they are a custom tags, you may need to setup your favorite tagger to add them.