python - audio classification of equal length samples / 'vocoder' thingy
Try searching for algorithms on "music fingerprinting".
Anybody able to supply links, advice, or other forms of help to the following? 
Objective - use python to classify 10-second audio samples so that I afterwards can speak into a microphone and have python pick out and play snippets (faded together) of closest matches from db.
My objective is not to have the closest match and I don't care what the source of the audio samples is. So the result is probably of no use other than speaking in noise (fun).
I would like the python app to be able to find a specific match of FFT for example within the 10 second samples in the db. I guess the real-time sampling of the microphone will have a 100 millisecond buffersample. 
Any ideas? FFT? What db? Other?