AcousticBrainz Plugin¶
The acousticbrainz
plugin gets acoustic-analysis information from the
AcousticBrainz project.
Enable the acousticbrainz
plugin in your configuration (see Using Plugins) and run it by typing:
$ beet acousticbrainz [-f] [QUERY]
By default, the command will only look for AcousticBrainz data when the tracks
doesn’t already have it; the -f
or --force
switch makes it re-download
data even when it already exists. If you specify a query, only matching tracks
will be processed; otherwise, the command processes every track in your
library.
For all tracks with a MusicBrainz recording ID, the plugin currently sets these fields:
average_loudness
bpm
chords_changes_rate
chords_key
chords_number_rate
chords_scale
danceable
gender
genre_rosamerica
initial_key
(This is a built-in beets field, which can also be provided by Key Finder Plugin.)key_strength
mood_acoustic
mood_aggressive
mood_electronic
mood_happy
mood_party
mood_relaxed
mood_sad
moods_mirex
rhythm
timbre
tonal
voice_instrumental
Automatic Tagging¶
To automatically tag files using AcousticBrainz data during import, just
enable the acousticbrainz
plugin (see Using Plugins). When importing
new files, beets will query the AcousticBrainz API using MBID and
set the appropriate metadata.
Configuration¶
To configure the plugin, make a acousticbrainz:
section in your
configuration file. There are three options:
auto: Enable AcousticBrainz during
beet import
. Default:yes
.force: Download AcousticBrainz data even for tracks that already have it. Default:
no
.tags: Which tags from the list above to set on your files. Default: [] (all)