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Thanks ------ Konrad Meyer for his patient testing and bug reports. Darren Kirby for the heads-up on wmainfo's ASF-parsing capabilities (along with being the author of wmainfo-rb and flacinfo-rb.) Description ----------- This package `Metadata' comes with a library called `metadata' and a small program called `mdh'. The library probes files for their metadata (e.g. jpeg dimensions and camera make,
Ben Bleything inspired me (or rather distracted me from my yak shaving) to get my music library cleaned up and remove duplicates. Unfortunately my duplicates don’t necessarily have ID3 tags, and they may be in different formats, so I wrote a gem called “earworm” which will identify unknown music. First I’ll give you a code sample, then explain how to get earworm working, and finally explain how ea
Images are currently not being copied over after event or release merges. For now, please make sure to upload any images that should be kept to the merge target beforehand. MusicBrainz has used several audio fingerprinting systems over its lifetime. All of them (so far) work in essentially the same way based on ACR technology. It is generally a two-step process of submission and lookup. First, the
Music Analysis vs Fingerprinting There are two processes that MusicIP makes available: MusicAnalysis and audio fingerprinting. Finally there are the PUIDs which are just IDs, no fingerprints. Music Analysis Before a PUID is available for MusicBrainz or Picard to use, Music Analysis must have been performed on a track. MusicAnalysis uses up to 10 minutes of the track and examines all sorts of thing
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