Re: Calling all music fiends who have MBID tagged music collections!

Hi Frederic,
We're hopefully going to finish the windows client by tomorrow or Thursday.
There's definitely enough time for you to contribute, although we're also
happy for contributions to continue past our "deadline". The idea is to
make the dataset continually grow.
I'll let you know here when the client is ready.

Alastair

On Tue, Oct 21, 2014 at 9:27 AM, Frederic Da Vitoria <[email protected]>
wrote:

> 2014-10-20 23:01 GMT+02:00 Robert Kaye <[email protected]>:
>
>> Hi!
>>
>> We're getting a new project off the ground and need your help!
>>
>> MusicBrainz, along with MTG-UPF is working on a new project,
>> AcousticBrainz. The goal is to compute audio features [0] and make them
>> freely available for anybody to use for MIR research and to open source
>> enthusiasts. We are generating audio features with the open source essentia
>> [1] feature extractor system, which anybody can use and contribute to.
>>
>> We hope that this open collection of features with known feature
>> extractors can be used by people to make lots of cool stuff. The
>> AcousticBrainz data includes a lot of data that had to previously been
>> licensed from expensive sources -- now this data will be open source! This
>> data can also serve as the building blocks for anyone to build their own
>> recommendation or music discovery system. Clearly this will take some time
>> to get here, but this is the first step.
>>
>> We're hoping to get up to 1,000,000 scanned audio tracks by next week!
>> We've 1/4 of the way there and we could really use your help to accomplish
>> our goal.
>>
>> We need the help of anyone with audio files on their computers to help
>> generate new data. You don't need to send us any audio, we just ask that
>> you download our extractor and submission program.
>> The only requirement is that your files are tagged with Musicbrainz IDs
>> (this is how we identify the music). If you haven't tagged your audio
>> collection yet, take this opportunity to download Musicbrainz Picard [2]
>> and identify and rename your music collection. The feature extractor runs
>> at about 20x real-time, that is about 10 seconds per 3-minute song -- sadly
>> this is pretty slow, but it is going a very detailed music analysis!
>>
>> To get started, go here: http://acousticbrainz.org/contribute
>>
>> We have static builds for linux and we're working to release solutions
>> for Windows and Mac very soon.
>>
>> Thanks!
>>
>> [0] http://acousticbrainz.org/sample-data
>> [1] https://github.com/MTG/essentia
>> [2] http://picard.musicbrainz.org/
>>
>
> Hello,
>
> Is there any chance the Windows version will be ready before the deadline?
>
> --
> Frederic Da Vitoria
> (davitof)
>
> Membre de l'April - « promouvoir et défendre le logiciel libre » -
> http://www.april.org
>
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>

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