Re: Sound Samples

"MadJock" <[EMAIL PROTECTED]> wrote 
"I'm looking to use neural networks to analyse sound samples in *.wav
format, and to be able to differentiate between them.  What would be
the best approach to take?  What aspects of the sound files should I
be trying to extract to differentiate between them?

As a human, I can't generalise the files into type A and type B, and I
wondered how I would feed them into a neural network for analysis.  I
can't feed every bit of data through an ANN, can I?"


Most modeling systems will be difficult to implement using all those
raw samples as direct inputs.  Consider any of the usual summaries
(averages, dispersion, etc.) as well as time-series and especially
signal processing operators (such as fourier transforms, etc.) to
reduce the size of your data.

-Will Dwinnell
http://will.dwinnell.com