No longer a need for correctly tagged music files. Very interesting acoustic fingerprinting code and API for music files, free and open source, (operated by The MetaBrainz Foundation, a non-profit corporation), very popular, and already has a cross-platform library (libmusicbrainz), would be great to have it built-into Boxee (and XBMC) so that it was used by the scanning process when building the database for the music library.
http://musicbrainz.orgMagic MP3 Tagger is an example of a software which used MusicBrainz:What is MusicBrainz?
MusicBrainz is a community music metadatabase that attempts to create a comprehensive music information site. You can use the MusicBrainz data either by browsing this web site, or you can access the data from a client program — for example, a Audio-CD player program can use MusicBrainz to identify CDs and provide information about the CD, about the artist or about related information. You can also use the MusicBrainz Tagger to automatically identify and clean up the metadata tags in your digital music collections. Find out more in the introduction.
http://www.magic-tagger.comWhat is Magic MP3 Tagger?
Your MP3 files are named incorrectly or in different ways? You don't want to listen to "Track01" files any more? Your music collection is messed? The correct release year of some files is missing? You've come to the right place.
Magic MP3 Tagger was specially designed to automatically identify and sort your music collection, which is a different approach than other tagging applications use. Magic MP3 Tagger does all the work for you by using a high sophisticated music identification algorithm!
In short, it's the tool you need to finally bring your music collection in order!
Identify your MP3 files automatically
How long would it take you to manually go through all of your music and type in the correct information? With Magic MP3 Tagger, your entire music collection can be fixed and organized automatically. This is possible by using a powerful dynamic identification algorithm which combines available song data with an internal music database under consideration of different naming patterns and similarities, various artist albums, compilation discs, known common misspellings and much more. This core identification process needs no internet connection and is therefore extremely fast.