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

2014-10-21 9:57 GMT+02:00 Alastair Porter <[email protected]>:

> 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?
>>
>
OK. I'll try to download the VM this evening, just in case. IIRC, I already
have VirtualBox installed at home.

I guess the Windows version will be faster than running through a VM. I
hope the Linux version logs the files which have been collected, so that I
can start with the VM first and then move the handled files out of the
music folder before switching to the Windows version. Ah yes, I see that
"(If you're comfortable with Linux, you can log in with user ab, password
ab and then: tail -f submit.log". Well, I'm not comfortable with Linux, but
this http://www.computerhope.com/unix/ulogin.htm seems to suggest I should
open a console, then use the login command, then the tail command. Am I
correct? BTW, when I'm about to switch, how do I stop the Linux program?
Does it have a window which I can close properly, or is it some kind of
hidden process? Sorry, I have many questions, but you did not give us much
time 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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