code: def audio_text_pair_example_english(test_data_dir, set_device):
      manifest_path = os.path.join(
          test_data_dir, "tts/mini_ljspeech/manifest.json"
      )
      data = read_manifest(manifest_path)
      audio_filepath = data[-1]["audio_filepath"]
      text_raw = data[-1]["text"]
  
      # Load audio
      audio_data, orig_sr = sf.read(audio_filepath)
      audio = torch.tensor(
          audio_data, dtype=torch.float, device=set_device
      ).unsqueeze(0)
      audio_len = (
          torch.tensor(audio_data.shape[0], device=set_device)
          .long()
          .unsqueeze(0)
      )
  
      return audio, audio_len, text_raw
  
file_path: NeMo/tests/fixtures/tts.py
imports: import os
  import pytest
  import soundfile
  import torch
  from nemo.collections.asr.parts.utils.manifest_utils import read_manifest
label_desc: Use image node_id 6 for calling a global function with example usage: audio_text_pair_example_english(test_data_dir, set_device) and returns: audio,  audio_len,  text_raw