Wav -> Dsp -> Components, Using DSP to take components from a .wav Options

[tingleychris]

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

[tingleychris]

Well, I must say that that doesnt sound too positive! Discriminating between composers/artists was always the goal - but for my project, I never thought i would be able to extarct enough features to make this possible.

I did belive however, that i would be able to extarct enough features to distinguish between things that are completely musically different e.g. Rock and Classical. Of course at that level, you could say that the network was distinugishing between composers - for that example: Black Sabath and Mozart!!

As I mentioned, I am not expecting amazing patent worthy result - as I am sure that people with a lot more time, and much bigger bugets have researched this further than I have. Indeed - I have read many academic papers on this exact subject!

As my project stands, I have a very fast and reliable MLP toolkit that I have written. It can train very fast and obviously running the network once trained is exceedingly quick (could be done in real time while "listening to the music"?? ).

Again, I ask if there are any resources out there that can help me on my quest! Especially this AudioUnits, which looks like it could be very useful. All i wish to do i pick out a few slapped-together features which I can shove into my network.

Of course, I will be publishing an academic paper on my findings and anyone willing to help will be fully acknowledged!