code: def load_wav(wav_path, wav_featurizer, pad_multiple=1024):
      wav = wav_featurizer.process(wav_path)
      if (wav.shape[0] % pad_multiple) != 0:
          wav = torch.cat(
              [
                  wav,
                  torch.zeros(
                      pad_multiple - wav.shape[0] % pad_multiple,
                      dtype=torch.float,
                  ),
              ]
          )
      wav = wav[:-1]
  
      return wav
  
file_path: NeMo/scripts/ssl_tts/ssl_tts_vc.py
imports: import argparse
  import os
  import librosa
  import soundfile
  import torch
  from nemo.collections.asr.parts.preprocessing.features import WaveformFeaturizer
  from nemo.collections.tts.models import fastpitch_ssl, hifigan, ssl_tts
  from nemo.collections.tts.parts.utils.tts_dataset_utils import get_base_dir
label_desc: Use image node_id 1 for calling a global function with example usage: load_wav(wav_path, wav_featurizer, pad_multiple) and returns: wav