Different people reading the same sentences, we can know from the voice who is speaking.
What makes the voice distinguishable?
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Some possible perceivable differences might include:
A simple way to solve your problem would be to record a short sentence and then calculate the FFT. This will give you an average spectral fingerprint for that person. Then you can compare spectra in order to identify a given person.
Check some more details here: