code: def mean_std_loudness(dataset):
      mean = 0
      std = 0
      n = 0
      for _, _, l in dataset:
          n += 1
          mean += (l.mean().item() - mean) / n
          std += (l.std().item() - std) / n
      return mean, std
  
imports: import math
  import librosa
  import numpy
  import torch
  import torch.fft
  import torch.nn
  from scipy.signal import get_window
label_desc: Use image node_id 2 for calling a global function with example usage: mean_std_loudness(dataset) and returns: mean,  std