I want to generate human voice using fft. For this, I analyzed a fft of my mother saying "e" and the result was that the points are in a normal distribution. Then I created a fft using a normal distribution, but the sound is a hissing.
On this site https://murilos.pythonanywhere.com/ are the two ffts, one with my mother voice and the other randomly generated.
generate human voice using fft
Can't do. The FFT is too primitive for anything but simplest audio generation: different voices, instruments, etc. will all have similar or identical-looking FFT. It's not much more useful than manually drawing a raw signal.
FFT could synthesize an "e". It could synthesize a piano keystroke. Where it stops is sentences and music. Or even a single word spoken in your own voice.
Speech pieced together one independent letter at a time is iron screeching. The principal challenge is in "temporal coherence" - making realistic-sounding speech, accounting for tone and speaker - which introduces nonlinear interdependencies between any individual block that FFT could generate.
The FFT is brittle to noise, local time shifts, and time warps. It's a necessary, but not sufficient, stepping stone - the next step is time-frequency, see "Modulation Model vs Fourier Transform" here - and the next step is feature engineering, see this post.
As for how to synthesize an "e"... dunno, I'll let others answer, but it's simple enough for FFT.
