I am a bit confused about the current state of Picard 2.1 in regard to genres.
There is now a checkbox ‘Use genres from MusicBrainz’.
But using that doesn’t seem to produce any genre tags.
I this perhaps a feature that hasn’t been fully implemented yet?
Or are some plugins, scripts or other settings needed to get it to work?
And on a brother scale:
There is the ‘folksonomy tags’ option, there is the AcousticBrainz Mood-Genre plugin, the LastFM plugin, the Tango.info Adapter plugin, the ‘wikidata-genre’ plugin, and maybe a few more?
Could somebody knowledgeable and experienced on the matter perhaps give some advice on good practices, differences, and perhaps on the status/usability of these plugins?
edit:
Some of my own testing results are in, and I thought it may be useful to have them in the start post:
So I used some random 80 tracks as a test to see what the different options for writing genres would bring.
It’s a completely non-scientific test. It’s just a personal effort to get some idea on how to procede and what to use.
I tried:
- Picard’s buit-in MusicBrainz genre option
- AcousticBrainz Mood-Genre plugin
- Last.fm plugin
- Tango.info Adapter plugin
- wikidata-genre plugin
I looked at the amount of tracks that received:
- any tag at all.
- tags that you would actually consider to be a genre.
- tags that I would call useful keywords, such as avant-garde, 60’s, vocal, soundtrack, etc.
- tags that are useless because they are completely subjective, commercial spam, four-letter cursing words, ranting, a repeat of just the artist name, etc. etc.
For the purpose of this report, let’s call these ‘crap’ (complete rubbish added pollution)
.
Picard’s own ‘Use genres from Musicbrainz’ (Picard 2.1.1)
Only some 10% of the tracks received a tag.
They were very basic (jazz, rock, pop etc.) but roughly correct.
There were no keywords, and there was no crap.
- Additionally checking ‘Use folksonomy tags as genre’:
Returns the same results, only with a couple of keywords added here and there.
note:
As @outsidecontext explained, there is currently an issue on the server side of MusicBrainz that is reponsable for these low scores.
I’ll try to update this post when there is development.
.
Acousticbrainz mood-genre plugin (1.1.1)
Very weird results. The majority of the 80 tracks I used were labeled such as:
“electronic; house; rhy; jaz”
“electronic; ambient; hip; jaz”
“electronic; trance; cla; blu”
etc.
I don’t know what to make of that, but I am pretty sure that Bob Marley and Elis Regina never made music in the “electronic” genre.
So it seems to be useless at the current state.
.
Last.fm plugin (0.8)
-
‘Use track tags’ and ‘Use artist tags’ both unchecked:
No results at all. So it’s probably not using something like ‘release genre’. -
‘Use track tags’ checked:
80% received a tag
of which 20% was genre, 35% keyword, 45% crap. -
‘Use artist tags’ checked:
95% received a tag
of which 30% was genre, 70% keyword, 2% crap.
(isn’t it fun when you can use inconsistent percentages in your own research?)
Check both boxes, and what you imagine that happens, happens.
Setting the slider in the options panel to a higher percentage does help in restricting the amount of crap.
But it is also likely to filter out some useful tags.
.
Tango.info Adapter plugin (1.1)
No results. Zero, nada, nakkes.
note:
I read somewhere on MusicBrainz or Github that there currently is a known issue with this plugin.
I’ll try to update this post when there is development.
.
wikidata-genre plugin (1.2)
90% received a tag.
Of which 99% were actual genres.
1% keywords, no crap.
.
If anybody has considerably different results, please let me know. There’s always a chance I messed something up while testing.