Stars that speak

I am really impressed with the match add-on to Sonic Visualizer as it took samples from two speakers at difference cadence and pitch and matched them perfectly!! I should be able to match stars "voices" with this pretty easily.

I discovered Sonic Visualizer, which seems useful for sound analysis. I have also tested loris some more and it doesn't like files that are stereo or with any extraneous header info, but seems to work quite well. I am considering a merger of opencv and frequency spectrum plots to see if opencv can identify the face of a star by its spectrum. I would assume that if the same framework was maintained, it would work. I am also testing to see if I can generate a spectrogram of words by various speakers and see if they can be found to match with opencv.

import loris
filea="AiffSample"

#Load the input file
fin = loris.AiffFile( filea+".aiff" )
samples = fin.samples()
sr = fin.sampleRate()

#Configure the analyzer component
FUNDAMENTAL = 415.0 
myAnalyzer = loris.Analyzer( .8 * FUNDAMENTAL, FUNDAMENTAL );
myAnalyzer.setFreqDrift( .2 * FUNDAMENTAL );  

# analyze and store partials
partials = myAnalyzer.analyze( samples, sr );

print 'found %d partials'%( partials.size() )

# export and save to SDIF file
fsdif = loris.SdifFile( partials )
fsdif.write( filea+".sdif" )

# synthesize
sampsout = loris.synthesize( partials, sr )

# export samples to AIFF file
faiff = loris.AiffFile( sampsout, sr )
faiff.write( filea+"2.aiff" )

exit()