code: def load_stats(self, stats_path):
      stats = np.load(
          stats_path, allow_pickle=True
      ).item()  # pylint: disable=unexpected-keyword-arg
      mel_mean = stats["mel_mean"]
      mel_std = stats["mel_std"]
      linear_mean = stats["linear_mean"]
      linear_std = stats["linear_std"]
      stats_config = stats["audio_config"]
      # check all audio parameters used for computing stats
      skip_parameters = [
          "griffin_lim_iters",
          "stats_path",
          "do_trim_silence",
          "ref_level_db",
          "power",
      ]
      for key in stats_config.keys():
          if key in skip_parameters:
              continue
          if key not in ["sample_rate", "trim_db"]:
              assert (
                  stats_config[key] == self.__dict__[key]
              ), f" [!] Audio param {key} does not match the value used for computing mean-var stats. {stats_config[key]} vs {self.__dict__[key]}"
      return mel_mean, mel_std, linear_mean, linear_std, stats_config
  
imports: import librosa
  import soundfile
  import numpy
  import scipy.io.wavfile
  import scipy.signal
  from TTS.tts.utils.data import StandardScaler
label_desc: Use image node_id 6 for calling the AudioProcessor obj's underlying member method code with example usage: obj.load_stats(stats_path) and returns: mel_mean,  mel_std,  linear_mean,  linear_std,  stats_config