echonest audio analysis
seems pretty interesting. You can upload a sound file and their servers will analyze it and spit back an XML file.
"The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g. aif, wav, mp3, m4a), and generates an XML file that describes the musical and structural content of the music. That representation can help power music visualization, music games, artistic installations, content-based and DJ applications with a much deeper level of music understanding. "
lets get this data into max/msp & jitter!
It’s XML, so…um, do it.
On Nov 24, 2008, at 3:34 PM, Alan Garcia wrote:
> lets get this data into max/msp & jitter!
Media Art and Technology
San Francisco, CA
Email: bthrew (at) gmail (dot) com
totally. im looking at the libs for xml parsing. any suggestions?
i found one from digital orchestra toolbox and a js one that i haven’t tested. the dot.xmlread object from digital orchestra toolbox returns corresponding lists of attributes, content etc.
The output data is for example: Now, to use this data do i do some string operations or something? Unpack a list? I’m still not flawless with my knowledge of these objects. Thx for any tips.
Now, to use this data do i do some string operations or something? Unpack a list? I’m still not flawless with my knowledge of these objects.
Thx for any tips.
I’ve just released en_analyzer~, an external that provides access to The Echo Nest’s audio analysis API from within Max. The object, as well as an example patch and source code is available here:
It’s a universal binary for Mac, and I’m working on the Windows version. The object uploads the contents of a buffer~, retrieves the associated analysis, and parses and stores that data for use in Max.
Any feedback is welcome. Happy coding.
Or you could run Echonest python scripts directly from Max