Comments on: Musical fingerprinting launched by Last.FM http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/ mark hopwood's blog Wed, 07 Jan 2009 11:52:39 +0000 http://wordpress.org/?v=2.7 hourly 1 By: mark http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/comment-page-1/#comment-189 mark Thu, 20 Sep 2007 08:13:07 +0000 http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/#comment-189 That's very interesting. My original article referred to Platinum Blue, but it does look from their website as if MusicIP is doing something like what I described. Thanks for pointing it out. That’s very interesting. My original article referred to Platinum Blue, but it does look from their website as if MusicIP is doing something like what I described. Thanks for pointing it out.

]]> By: Matthew Dunn http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/comment-page-1/#comment-186 Matthew Dunn Wed, 19 Sep 2007 23:12:50 +0000 http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/#comment-186 What you're writing about is what MusicIP already does. What you’re writing about is what MusicIP already does.

]]> By: Russ Garrett http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/comment-page-1/#comment-127 Russ Garrett Wed, 05 Sep 2007 10:49:50 +0000 http://blog.markhopwood.com/2007/09/05/musical-fingerprinting-launched-by-lastfm/#comment-127 What you're talking about is called feature extraction, not fingerprinting. Fingerprints generated by most systems bear no direct resemblance to how the music sounds. We are already working on feature extraction behind the scenes to improve our recommendation systems, although it still needs a lot of work. What you’re talking about is called feature extraction, not fingerprinting. Fingerprints generated by most systems bear no direct resemblance to how the music sounds.

We are already working on feature extraction behind the scenes to improve our recommendation systems, although it still needs a lot of work.

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