code: def __load_wav(audio_file):
      with sf.SoundFile(audio_file, "r") as f:
          samples = f.read(dtype="float32")
      return samples.transpose()
  
file_path: NeMo/scripts/dataset_processing/tts/generate_mels.py
imports: import argparse
  import json
  from pathlib import Path
  import numpy
  import soundfile
  import torch
  from joblib import Parallel, delayed
  from tqdm import tqdm
  from nemo.collections.tts.models import FastPitchModel
  from nemo.collections.tts.parts.utils.tts_dataset_utils import BetaBinomialInterpolator, beta_binomial_prior_distribution
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: __load_wav(audio_file) and returns: samples