Re: [Banshee-List] Mirage - Automatic Playlist Generation Plugin

[Kevin Dupuy <kevindupuy bellsouth net>]

On Fri, 2007-08-31 at 16:21 +0200, Dominik Schnitzer wrote:
> Hi,
> 
> I wanted to wait and polish a bit more before publishing this, but since
> this already found its way on planet.gnome.org... :-)
> 
> I've written an automatic playlist generation plugin for Banshee
> (Mirage). This was done as a part of my master thesis. Once the plugin
> is activated in Banshee it "listens" to your music collection (this can
> take quite long...) and tries to compute a timbre-similarity model of
> it. Those models are stored in an sqlite database. (This only needs to
> be done once)
> 
> After all your songs are analyzed. You can generate playlists by
> dragging a seed song on the Playlist Generator item in banshee. Mirage
> then searches its database for similar sounding songs. The 5 top-hits
> are then put in the playlist.
> 
> This is useful in large collections, where random shuffle fails.
> 
> 
> Have a look at the video to see how automatic playlist generation works.
> 
> Homepage: http://hop.at/mirage/
> (includes tarballs, install instructions, ubuntu feisty .deb, a
> screenshot && video)
> 
> 
> Note:
>   * If you listen to more than 60% of one of the songs in the generated
> playlist - the playlist updates itself by searching for similar songs of
> this song.
>   * if you skip songs in the playlist, those song is excluded from
> further playlists
>   * MPG123/FAAD/OGG123/SOX are reguired because of performance reasons.
> Since Mirage needs to decode every music piece in order to analyze it
> the fastest decoders available are needed. I.e. using the gstreamer
> framework would have been really nice, but in the end it was too slow
> :-/ Even libmad is about 4-5 times slower than MPG123, just to name an
> example. Opinions on this issue are welcome!
> 
> 
> It would be very cool, if someone could try this out and give some
> feedback. I know it is far from being perfect but hey, it somehow works
> :). Patches are welcome. I am planning to improve and work on this,
> since smooth integration in Banshee and functionality like this would be
> cool.
> 
> 
> greetings,
> domi.
> 
> PS: I'm currently working at the Department of Computational Perception
> at the Johannes Kelpler University (Austria, Linz, http://ww.cp.jku.at).
> Our department is heavily working in the field of music similarity,
> music information retrieval and automatic playlist generation.
> 
> _______________________________________________
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I watched the video, and will try the actual software later (I'm a
little behind on some things right now :-)) It really does look great.
Great job!
-- 
Kevin Dupuy <kevindupuy bellsouth net>
Yo.media