Every Noice at Once VS MusicBrainz Picard

I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 10 days ago

Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 26 days ago

The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 4 months ago

This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 5 months ago

Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 5 months ago

Have you tried https://www.funkwhale.audio/? It can be used effectively as a "private spotify". Labeling is a solved problem thanks to https://picard.musicbrainz.org/, and the fact that a lot of the music you buy these days comes pre-labeled already. You then have a web-app (and/or a mobile app, if that's your thing) where you can stream music as you would with Spotify. You can even build yourself a little... - Source: Hacker News / about 1 month ago

I use picard for my collection. My work flow is Picard > Lyrics Finder > Foobar for BPM, RealGain and DR > Custom python script to pull genre and mood from Last.FM and spotify> then Advanced Renamer to perform naming clean up of folder names. I lowercase and underscore spaces. Also does files if I happen to need Mp3Tag when Picard doesn't find anything. Once this is done I move files on to may NAS. Source: 5 months ago

Musicbrainz Picard - A great application that I've used in the past to identify and organize my saved music collection. It's not focused on adding semantic tags though: it's used for adding metadata to .mp3 files. Source: 6 months ago

I do the same but run it though Picard[0] before adding to Plex. [0]https://picard.musicbrainz.org/. - Source: Hacker News / 7 months ago

Feed all of your music to something like 'musicbrainz picard' - it will sort out all the tags and provide the artwork too. Source: 10 months ago