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Showing results for tags 'tags'.
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Used Qobuz for a short while; created some 30+ playlists. In my case a playlist is the same contents as the album. I use a tablet at home, to feed my Chromecast Audio in my hifi, without importing the album. On the road I use my mobile phone to feed my headphones. When I create a playlist I import the album on my mobile, on its SD card. Also on my tablet and mobile is Poweramp fed from matching SD cards holding some 500+ albums, ripped from my CDs. These 500+ rips are tagged. I find by genre is my most common search. Can I add tags to Qobuz playlists or use some other method search by at least genre?
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Having recently spent several days on a tagging project (and I haven't even started with the genre tagging) I was thinking that this job could easily be automated to save a lot of time and to reduce errors. I'm not talking about using an online tagging database because these online libraries contain problems of their own which still have to be corrected but at least they offer a starting point and even tags on commercial platforms such as Spotify or Qobuz are riddled with errors. A program could be written to scan a whole library and look for likely mistakes, e.g. artist tags which differ slightly but are likely to be the same could be flagged -> "I found separate tags for 'Beatles' and 'The Beatles'." Then you could select which tag to apply in all cases or choose to do nothing at all. Potential spelling errors could be flagged, as well as track numbers which accidentally found their way into track titles, etc. Other tags such as disk number and total disks are so time consuming to do manually but would be a snap with a smart tagging app. Now for the really interesting part: there are already AI apps which can analyze a music track and identify the genre accurately (90-99% depending on the genre), not by looking up a database but by analyzing the actual music. THIS got my attention :) You can test this for yourself for free at https://tag.musiio.com/home (unfortunately the demo only works with .mp3, .wav and .m4a file types – I have no idea whether this limitation applies to the paid plans). This service is not really aimed at the individual but surely intelligent tagging like this must be just around the corner for the music enthusiast and personally I can't wait!
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Hello, I have written a plugin to add support for the DSF audio format to the Musicbrainz Picard Tagger (which is my favorite). The plugin seems to work on the few files I've tested. If you would like to beta test then please download here: https://dsf2flac.googlecode.com/svn/trunk/extras/picard%20dsf%20file%20support/picard%20plugin%20-%20dsf%20file%20support.zip All the best, Jack.