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

2014-10-21 10:55 GMT+02:00 Frederic Da Vitoria <[email protected]>:

>
> 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 :-)
>

I have started the VM. I had a little issue with the folder name: my music
folder is named Music, and the VM already has a shared folder named Music.
VirtualBox wasn't smart enough to correct this automatically, all it did
was refuse to let me click on OK without any explanation. It took me a few
minutes to think of this and change the share name for my folder. Maybe I
could have removed the existing shared folder?

The work is slow, really slow. On my i5-3210M, it takes close to 30 seconds
to handle one track, and the software hasn't yet reached my classical music
tracks! I am going to have to stop it tomorrow morning. How should I do it?
Just stop the VM? If I restart it; will it automatically skip the tracks it
already analysed? Or should I fetch the list in submit.log and move those
files out of the way?

-- 
Frederic Da Vitoria
(davitof)

Membre de l'April - « promouvoir et défendre le logiciel libre » -
http://www.april.org

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