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![]() Newbie Group: Members Posts: 5 Joined: 10-Apr 04 From: Reading - UK Member No.: 40,670 ![]() |
Hi,
I am developing an MLP Artifical Neural Network application (www.etingley.com/uni), but am now at the stage of using a DSP toolkit to remove certain traits (components) of a .wav file. I am developing in C++ in XCode on Panther. Can anyone suggest a decent toolkit to use that will easily allow me to give it a wav and extract numerical components? Best Regards, Chris Tingley www.etingley.com/uni |
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#2
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![]() Advanced Member ![]() ![]() ![]() ![]() ![]() Group: Members Posts: 351 Joined: 12-Aug 02 From: London - UK Member No.: 6,795 ![]() |
You can get information on AudioUnits on apple website, also in the /Developer/Examples folder if you have installed the Dev tools. There are various samples on how to setup audiounits chains, it's not complicated.
My suggestion is that you work with MIDI files, there you have the polyphony already in a digestable form (notes, separated by instruments). However, even with MIDI, I can't really see how you will be able to feed that in a neural net; a neural net is good at learning static patterns like a retina, but music is primarily time based so you can't make a reliable and discriminative "pattern" to show to your network. To do that you would have to make a massive work of 1) extracting "signature" bits of the music, and 2) represent these in a discriminant form. For info I worked on a musical search engine a few years back, where you could sorta whisle a tune and the program would try to get you a match. The problem we had was not really finding matches, but diggesting "relevant" traits of the tunes to index to then do pattern matching. -------------------- |
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