How to Submit Analyses to AcousticBrainz

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AcousticBrainz is a project with the aim to crowdsource acoustic information for all music in the world and to make it available to the public. That means if you have a database of music, it would be great if you helped this project by contributing to it. This works through analysing your music files for acoustic characteristics - including low-level spectral information and information for genres, moods, keys, scales and much more - and submitting these analyses to AcousticBrainz. This process of analysing and submitting is luckily full-automatic if you use one of our AcousticBrainz clients, so you just have to do the setup (installing and using the client, which is to be explained in this How-To).

Prerequisites

To analyse your music files you need to have the following:

  • A working AcousticBrainz client, downloadable at the AcousticBrainz website - at this time, only Windows, OSX and Linux are supported
  • The music files (if available use lossless files, otherwise lossy files will do it too), which have to be properly tagged with MBIDs
Note Note: These MBIDs are the identifiers for different pieces of music (also distinguishing between different recordings).

This means you have to tag your files by using a program capable of doing that. Look here to find a list of possible taggers. Additionally, if your files aren't in the MusicBrainz database yet, you should consider adding them first.

Analysing files

After extracting the downloaded packages, they are ready to use.

Windows

  • Open acousticbrainz-gui.exe and select all directories/folders where the files are located (all sub-directories of the selected directory will automatically be selected too) and click "Analyze...".

Analyze1.png

  • Now wait until the process is finished:

Analyze2.png

Note Note: This may take a while, so make sure to have a stable internet connection and preferably don't do anything else during this time on your computer.

As you can see, properly tagged files will be submitted, files without MBIDs will be skipped, so make sure to have the files properly tagged. Additionally, all previously analysed files won't be analysed a second time (when clicking "Analyze..." again); the program will output, that there are no audio files in the selected directories (although there are, but have already been analysed).

Linux

  • Open the extracted folder and open the terminal from this folder.
  • Enter the command: ./abzsubmit [path to the files/directories] to analyse all files at the given paths.

All files at the given paths/directories (and sub-directories) are going to be analysed. In this example, all files in the "Music" folder (located in the "abzsubmit-0.1" folder) are analysed:

Analyze Linux1.png

  • Wait until the process is finished.

Analyze-Linux2.png


As you can see, properly tagged files will be submitted, files without MBIDs will be skipped, so make sure to have the files properly tagged. Additionally, all previously analysed files won't be analysed a second time (when trying to analyse again); the program will directly show ":) done".

Note Note: Currently there is a little bug which leads to a program output of ":) done" if the program tried to analyse a file at a given directory already even if this didn't work the first time (because of missing MBID for example). To bypass this bug, it is suggested to change the directories' name slightly every time before analysing (in this example "Music" to "Music2" to "Music3" for example). The program should then analyse every file correctly again (without skipping it), although the same happens to the files which indeed have been analysed and submitted correctly the first time.

Have a look at your submissions

After having analysed and submitted the files, you can see the analyses (including high- and low-level JSON documents) at:

  • acousticbrainz.org/<MBID>

You just have to replace <MBID> with the related MBID of one recording you just submitted. This ID can be found in every tag editing software or alternatively in the MusicBrainz database as part of the recordings' URL or at the recordings' details (if they were added to MusicBrainz).


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