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Updated README

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emeric
2020-09-22 09:06:39 +02:00
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README.md
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_LMS_ is a self-hosted music streaming software: access your music collection from anywhere using a web interface!
A [demo](http://lms.demo.poupon.io) instance is available, with the following limitations:
- Settings cannot be saved
- No persistent playqueue
- No administration panel
A [demo](http://lms.demo.poupon.io) instance is available. Note the administration panel is not available.
## Main features
* Low memory requirement (the demo instance runs on a Raspberry Pi3B+, using less than 10% of total memory even when transcoding)
* User management
* Low memory requirement: the demo instance runs on a Raspberry Pi3B+
* Recommendation engine
* Audio transcode for maximum interoperability and low bandwith requirements
* Multi-value tags: artists, genres, ...
* Custom tags support: _mood_, _genre_, _albummood_, _albumgrouping_, ...
* Compilation support
* [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) support to handle duplicated artist and release names
* Disc subtitles support
* ReplayGain support
* Persistent play queue across sessions
* Compilation support
* Multi-value tags: artists, genres, ...
* Custom tags (ex: _mood_, _genre_, _albummood_, _albumgrouping_, ...)
* MusicBrainzID support to handle duplicated artist and release names
* Disc subtitles support
* _Systemd_ integration
* _PAM_ authentication backend
* User management
* with optional _PAM_ authentication backend
* Subsonic API, with the following additional features:
* Playlists
* Starred Album/Artist/Tracks
* Bookmarks
## Music discovery
_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
* Searches in album, artist and track names (including sort names)
* Random/Most played/Recently played/Recently added for Artist/Albums/Tracks, allowing you to search for things like:
* Starred Albums/Artists/Tracks
* Random/Starred/Most played/Recently played/Recently added for Artist/Albums/Tracks, allowing you to search for things like:
* Recently added _Electronic_ artists
* Random _Metal_ and _Aggressive_ albums
* Most played _Relaxed_ tracks
* Starred _Jazz_ albums
* ...
The recommendation engine uses two different sources:
@@ -49,7 +45,7 @@ The recommendation engine uses two different sources:
__Notes on the self-organizing map__:
* training the map requires significant computation time on large collections (ex: half an hour for 40k tracks)
* audio acoustic data is pulled from [AcousticBrainz](https://acousticbrainz.org/). Therefore your audio files _must_ contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier).
* to enable the audio similarity source, you have to enable it first in the settings panel.
* to enable the audio similarity source, you have to enable it first in the administration panel.
## Subsonic API
The API version implemented is 1.12.0 and has been tested on _Android_ using the official application, _Ultrasonic_ and _DSub_.