code: def preemphasis(
      *, x: np.ndarray, coef: float = 0.97, **kwargs
  ) -> np.ndarray:
      """Apply pre-emphasis to the audio signal. Useful to reduce the correlation between neighbouring signal values.
  
      Args:
          x (np.ndarray): Audio signal.
  
      Raises:
          RuntimeError: Preemphasis coeff is set to 0.
  
      Returns:
          np.ndarray: Decorrelated audio signal.
      """
      if coef == 0:
          raise RuntimeError(" [!] Preemphasis is set 0.0.")
      return scipy.signal.lfilter([1, -coef], [1], x)
  
imports: from io import BytesIO
  from typing import Tuple
  import librosa
  import numpy
  import scipy
  import soundfile
  from librosa import magphase, pyin
label_desc: Use image node_id 7 for calling a global function with example usage: preemphasis() and returns: scipy