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#1
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![]() Newbie Groupe : Members Messages : 5 Inscrit : 10 avril 04 Lieu : Reading - UK Membre 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 ![]() ![]() ![]() ![]() ![]() Groupe : Members Messages : 351 Inscrit : 12 août 02 Lieu : London - UK Membre no 6,795 ![]() |
Being not only a musician, but also a developer with lots of experience in neural networks AND dsp/audio (separately, but still), I can tell you that you won't find a set of "numerical parameter" that you seek, especialy a set that is discriminant enough to feed a neural network.
Oh yeah the easy ones are, well, easy : loudness & bandwidth, and average frequency. But just "brigthness" is totaly subjective, "pitch" for simple melodies you can get "fairly good" result (assuming a clean sound without too much effects), but as you add polyphony it just collapses. Harmonicity without accurate "pitch" is totaly out of the question. So, not wanting to rain on your parade, but if you managed to make a program that can JUST discriminate -reliably- polyphony in a regular piece of music you'd probabaly already have patent material. So as for picking the composer... ![]() -------------------- |
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