code: def segment_wav(
      wav, segment_length=44100, hop_size=44100, min_segment_size=22050
  ):
      if len(wav) < segment_length:
          pad = torch.zeros(segment_length - len(wav))
          segment = torch.cat([wav, pad])
          return [segment]
      else:
          si = 0
          segments = []
          while si < len(wav) - min_segment_size:
              segment = wav[si : si + segment_length]
              if len(segment) < segment_length:
                  pad = torch.zeros(segment_length - len(segment))
                  segment = torch.cat([segment, pad])
  
              segments.append(segment)
              si += hop_size
          return segments
  
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 3 for calling a global function with example usage: segment_wav(wav, segment_length, hop_size, min_segment_size) and returns: list, segments