Python: Fast Fourier Transform (FFT) for speech processing using Scipy

Scipy provides the FFT and inverse FFT functions useful for sound processing.

Example:

import soundfile as sf

from scipy.fftpack import fft, ifft

with open('1.wav', 'rb') as f_wav:

    x, rate = sf.read(f_wav)

   

X = fft(x)

#The ifft function returns a complex variable, but the imaginary part is quite small to be neglected.

y_complex = ifft(X)

y = y_complex.real

sf.write('2.wav', y, 16000)

Reference:

Matlab: Discrete Cosine Transform (DCT) for speech processing (StudyEECC)

Python: Discrete Cosine Transform (DCT) for speech processing (StudyRaspberryPi)

Fourier Transforms (scipy.fft)

scipy and numpy inverse fft returns complex numbers not floats, can't save as wav (StackOverflow)

Python - How to use Soundfile to read and write WAV and FLAC files (Study Raspberry Pi)