The old skool RDF based web service (at /cgi-bin/mq_2_1.pl /cgi-bin/mq.pl /cgi-bin/rdf_2_1.pl and /cgi-bin/rdf.pl) will cease to exist when we release the Next Generation Schema (NGS) release that will go into a beta release on August 31. This web service has been deprecated for three years now, its finally time to put it out if its own misery.
As of this release the Classic Tagger will completely stop functioning. RIP Classic Tagger!
Today’s the day – our wiki is being migrated to MediaWiki. The old “moin” wiki is now read-only (and will remain so, at least for a few months), and is available on oldwiki.musicbrainz.org. The new wiki, once all the data has been migrated across, will be at the usual address.
As soon as the migration is complete, I’ll switch wiki.musicbrainz.org over to point to MediaWiki.
Unfortunately it won’t be possible to also migrate the user accounts from moin to mediawiki, so regrettably this means that once mediawiki us up, you’ll have to re-create your accounts. Sorry about that.
Update: the switch has been made – if you have any questions to ask or problems to report about this, please see the WikiMigration page. Thanks!
What started out as a joking suggestion has actually extended the life of the Classic Tagger! 🙂
One jokester at the recent summit suggested that we return random TRM values (as opposed to matched acoustic fingerprint ids) and just switch the TRM server off. Turns out, that suggestion was actually brilliant!
Doing this essentially makes every TRM lookup return “I don’t know this one”. But in that case the MusicBrainz server falls back to doing a metadata match (without the acoustic fingerprint). And it turns out that works pretty well all around! And I think some people may prefer this method, since you won’t have to clear up TRM collisions anymore.
So, what does mean for when we switch off the TRM server? The Classic Tagger lives on and may match fewer files than before — life may actually be better once we shut it off! But I think that many people will find it useful still.
We’ve been able to improve the performance of the database server, so that we’ve been able to turn on TRM support again.
Marco Sola pointed out that there is a new Italian review of the tagger. I saw that it mentioned the pending Picard tagger, but that is about all I understood. 🙂
The Washington Post covered the MusicBrainz Tagger in their weekend edition (reg required):
MusicBrainz does this by computing a music file’s digital fingerprint, based on its length and acoustic properties, then seeing if it can find a match in a growing online database of songs. The program will then work its magic, even reporting its confidence in less-than-exact matches. It was right in most of our tests, even when it reported that a song’s fingerprint matched only 55 percent of a title in the database.
Just wait until they see Picard… Speaking of which, I’m supposed to be working on that right now.
This version contains the following bug fixes:
This may be the last version until the Picard Tagger is complete.