I’m pleased to announce that as of right now, we have a new acoustic fingerprint provider! MusicBrainz has teamed up with MusicIP (formerly Predixis) and has integrated their MusicDNS service into MusicBrainz’ Picard Tagger. Version 0.7.0-beta1 is available for download right now!
This partnership with MusicIP promises to be beneficial for both MusicBrainz and MuiscIP. The rough overview of our new relationship looks like this:
- Free fingerprint lookup services for official MusicBrainz projects. The fingerprint services are entirely hosted by MusicIP, which removes the burden of hosting service that is only tangential to our mission.
- A GPL/APL licensed fingerprinting client library (Open Fingerprint Architecture Library aka libofa) that is ready to integrate into new applications today!
- Other projects that wish to integrate fingerprinting services into their applications will need to sign up with the MusicDNS service. This service is free for non-profit projects (musicdns.org), and price-tiered for commercial projects such that even small startups have access. For more details, please visit MusicDNS.org.
- $10,000 held in escrow for MusicBrainz, plus contractual commitment to supply hardware resources should MusicIP exit the fingerprinting business. This is designed to allow us to continue the service should they decide to stop providing the service.
- a 10% cut on all income earned from fingerprinting queries where MusicBrainz metadata is provided via the MusicDNS service.
- 800K acoustic fingerprint ids (PUIDs) that which are already loaded into our DB.
- Travel, lodging and registration costs for myself to attend the SXSW
conference, where all of this is being announced and released.
- Allow us to exhibit in the MusicIP booth at SXSW this week. Including displaying our logo!
- One free live data feed for MusicIP’s use.
- The right for MusicIP to sub-license the MusicBrainz data to their customers as part of their product offering — at full list price. MusicIP takes no cut.
- Community support of the Open Fingerprint Architecture library. Many of the exact details on where the source code will live still need to be worked out over the next few weeks.
As you can see, the deck is stacked much in our favor. MusicIP has gone above and beyond the call of duty to setup this relationship. We’re all very excited by this new partnership, since it extends our reach into the commercial realm and welcomes MusicIP into the open source world. We are also announcing a partnership with the Creative Commons where MusicBrainz will now be able to track Creative Commons licenses.
Due to all of this, there has been a lot of frantic development at MusicBrainz over the last 8 weeks. Moving to a new colocation facility, more bandwidth, more servers, a new web service and a new text search were all in preparation for today. As you may have noticed, the MusicBrainz service has been a little bit more spotty as we’ve worked hard to push out new features and move to the new colo. The good news is that we’ve brought more database servers online to help spread the load to more machines as people come to investigate our new version of the Picard Tagger. Hopefully the web site should still respond well even if the replicated servers are working hard to handle the new web service traffic for Picard 0.7.0. Once I return from SXSW, I’ll be focusing on getting the service stable, better documented and generally ready for the future.
Last, but certainly not least, I would like to thank Relatable for the use of their TRM fingerprint technology. Without Relatable MusicBrainz would’ve never been able to grow as fast as it has. I appreciate everything that Relatable has done for MusicBrainz, but MusicBrainz has simply outgrown TRM and it is time to move on. We will continue to provide the TRM service for another 6 months from today. If you have an application that uses TRM, please visit MusicDNS.org today to find out how you can migrate to this new fingerprinting service.
I bet there will be tons and tons of questions. I will batch up the questions and the post up follow up messages to try and respond to your questions.
Technorati Tags: acoustic fingerprinting, musicbrainz
19 thoughts on “New fingerprinting technology available now!”
Great news… potentially. Now you just need to convince someone to adapt Picard for OSX. Until then…
Is there a contact at MusicDNS? libofa doesn’t build on OS X, and I can’t seem to find any way to let anybody there know about it.
Are there plans to implement the Creative Commons sampling license options? http://creativecommons.org/license/sampling?format=audio
It’s nice that we have an alternative to TRM now, but I’m disappointed that this is a one-way relationship. It seems that we can use their PUID database and they have licensed the code to generate the PUIDs, but that we have no way to contribute PUIDs? Isn’t that one of the main reasons to have acoustic fingerprinting, so that there is a way to identify rarer and lesser known works?
The CC link is wrong — the ‘h’ is missing in relationship.
Can’t wait to kick the new system’s tyres!
This is off topic; wasn’t sure where else to respond to this:
“…as soon as you have several hundred clustered albums, dragging them to associate… gets too unwieldly.” – http://wiki.musicbrainz.org/PicardTaggerDocumentation
If you could further cluster albums by artist, and then cluster artists by alphabetical chunks (maybe a depth to be specified by user, A-C,D-F… or AA-AM,AN-BE…?), that would speed up cluster navigation for large numbers of albums (though it might slow down those with few albums, so best if users retain full control over such organizational options).
Picard is, ahem, “t3h” awesome.
When will a version for OS X be available?
Terrific! Now my tagging app is compatible with my library app, I’m rocking, or you both are making it easier for me to rock out. 🙂
The easiest way to create new PUID’s for obscure music is to use the free version of the MusicIP Mixer (supporting Linux, Mac and Windows). Once a song has been identified by the Mixer, a PUID will be assigned generally within 24 hours or so (maybe a bit slower this week as we bang on our servers).
Maybe an obvious question (or answer), but does this excellent news mean I’ll have to re-tag all my files?
I mostly use MB in conjunction with Last.fm.
No, you don’t have to re-tag your files. They already contain MusicBrainz TrackIDs, which is the highest level of identification.
Think of PUIDs as helpers to get MusicBrainz TrackIDs for your files.
A few questions:
What does MusicIP actually need to provide? Since the accoustic fingerprint is opensource is there a role that MusicIP NEEDS to play? I understand they are providing hardware and bandwith and that is helpful, but is the OS fingerprint enough to go it alone or do they still have some proprietary software calculations that only they can do?
Any plans to do Acoustic Fingerprint clustering to identify albums?
It was suggested on HA.org to also include album and track replay gain info in a database to identify the pressing and any remastering.
I hope the PUID works well, because it will take over a week to scan my folders. How well does it compared to TRM?
A Java based Lib would be nice, sort ot the Mac build issues for one thing
i love music and I’m going to create my own band. I just need some ideas. I found your site very funny and convenient for me. I really enjoyed it. My best regards.
hi I came across your site and I really appreciate your work. I’m fond of music and just wanted to say that you provide people with very useful information.
In my little world everyone I know that uses OSX (and it’s quite a few and growing) want “Tag & Rename for OSX”. There is simply nothing out there and I see so many requests for it even in the MusicBrainz community. Please help us, we’re lost, we need MusicBrainz on OSX. iEatBainz is cool, but not very flexible. How about setting up a poll to find out what the real need is for an OSX client ?
I have the same problem as Philip. The extension worked for two days, after that it will clear the window and not display anything. I tried to uninstall mozilla, delete the profile and extensions and reinstall, but no luck 😦
Please, help me! Where i may find – Acoustic FingerPrint algorithm?