title: How to find Fourier Transform Coefficients from a .wav file?
body: <p>Well, I have done a good amount of research on Speech data, I was able to return discrete Fourier transform of real or complex sequence from a wav file.</p>
  <pre><code>import matplotlib.pyplot as plt
  from scipy.io import wavfile as wav
  from scipy.fftpack import fft
  import numpy as np
  rate, data = wav.read('Data/File1.wav')
  fft_out = fft(data)
  %matplotlib inline
  plt.plot(data, np.abs(fft_out))
  plt.show()
  </code></pre>
  <p>When I tried to save this np.abs(fft_out) data, it is ultimately a 1D array data, which is quite obvious</p>
  <p>But I need some help in extracting features (fourier coefficients) from the fourier transformed data, can somebody show some light?</p>
  <p>Ultimately, I am being asked to create a final dataset with important features from fourier transformed signals</p>
  <p><strong>Note: I don't need the exact code for this, but any direction would be helpful.
  My main task is go get important features extracted from a fourier transformed data.</strong></p>