![]() ![]() What do you really, really, really want to see in.You can see all the 42 fixes and improvements made in this release here We taken a look at any issues raised in the last year and fixed as many as we possibly could. In this release the matching algorithm of Jaikoz has had a Spring clean, it has taken on most of the improvements implemented by SongKong plus added some new ones to give the fastest and most accurate matching so far. You can help the AcousticBrainz project yourself by submitting your own songs for analysis. There will be deeper support for this in the next version of Jaikoz. Match Songs to one Discogs Album by Catalog NoĪcousticBrainz is a new site that does audio analysis on songs in the MusicBrainz database to work out attributes such as the Bpm or Danceability of a song.Match Songs to one Discogs Album by Barcode.Match Songs to one MusicBrainz Album by Catalog No. ![]() Because the Jthink Music Server is only used by Jaikoz and SongKong demands on the server are less, and unlike the MusicBrainz server the Jthink Music Server can automatically scale to multiple machines when demand does peak. More Reliable Service MusicBrainz service is available to many applications and because of this usage can vary wildly, and at times can become unresponsive. More Accurate Matching search has been optimized to best match the algorithm used by Jaikoz, and additional data such as finding the original release of a release is returned with the match. In contrast the MusicBrainz server has to support all many different scenarios and customers and understandably has to make compromises ![]() Today we release Jaikoz 8 this is an exciting release because it is the first time Jaikoz uses the JThink Music Server for both Discogs and MusicBrainz matching.įaster matching because the JThink Music Server is optimized for release matching - and is optimized to show the data Jaikoz requires, not more and not less, this results in a minimum amount of api calls. ![]()
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February 2023
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