Re: Gsoc 2015: Intruduction

Hi Kang,
Thanks for your email.
Do you have more results about your emotion in music task? What was your
goal, and what did your results show?

We talked a little bit about emotion in our initial blog post:
http://blog.musicbrainz.org/2014/11/21/what-do-650000-files-look-like-anyway/
And discovered that our existing results are not that great. We definitely
want to address this topic more.

For us, there are two parts to any of these training problems. The first
part is to find a dataset that is representative of our topic. As you have
pointed out, there may be a problem with using small datasets on a
collection as large as AcousticBrainz.
Do you have any ideas how we could collect a large training set?

The second part to address is the actual training method. We're currently
using SVM, with automatic feature selection based on the features present
in our low-level data. Maybe you also have some ideas here about which
training method is most effective. What did your results in your project
show?

Regards,
Alastair



On Sat, Mar 21, 2015 at 4:41 AM, 蔡康 <[email protected]> wrote:

> Hi,
>
> My name is Kang Cai, graduate student of Peking University, major in audio
> information processing.  Half a year ago, I took part in “Emotion in
> Music “ task in “MediaEval 2014” and achieved good results.
>
>
>
> Recently, I want to participate in GSoC 2015. After searching for a long
> time, I finally find the interesting project “AcousticBrainz”.  The
> project’s main idea is to realize automatic tagging for music through
> semi-supervised machine learning. For me, this project has three major
> challenges. The first one is how to work well with existing algorithms to
> realize it. The second one is the “big data”, which is different from the
> small dataset I used for experiment in my lab. The last one is this is my
> first time to apply for online cooperative project, kind of excited.
> Although I’m not familiar with the existing framework of this project, I
> wish I could have the chance to work on it.
>
>
>
> Best regards,
>
>
>
> Kang Cai
>
> _______________________________________________
> MusicBrainz-devel mailing list
> [email protected]
> http://lists.musicbrainz.org/mailman/listinfo/musicbrainz-devel
>

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