code: def spectral_kurtosis(signal, fs):
      """Measures the flatness of a distribution around its mean value.
  
      Description and formula in Article:
      The Timbre Toolbox: Extracting audio descriptors from musicalsignals
      Authors Peeters G., Giordano B., Misdariis P., McAdams S.
  
      Feature computational cost: 2
  
      Parameters
      ----------
      signal : nd-array
          Signal from which spectral kurtosis is computed
      fs : float
          Sampling frequency
  
      Returns
      -------
      float
          Spectral Kurtosis
  
      """
      f, fmag = calc_fft(signal, fs)
      if not spectral_spread(signal, fs):
          return 0
      else:
          spect_kurt = ((f - spectral_centroid(signal, fs)) ** 4) * (
              fmag / np.sum(fmag)
          )
          return np.sum(spect_kurt) / (spectral_spread(signal, fs) ** 4)
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 43 for calling a global function with example usage: spectral_kurtosis(signal, fs) and returns: int, unknown