code: def _CreateAsrFrontend():
      p = asr_frontend.MelFrontend.Params()
      p.sample_rate = 16000.0
      p.frame_size_ms = 25.0
      p.frame_step_ms = 10.0
      p.num_bins = 80
      p.lower_edge_hertz = 125.0
      p.upper_edge_hertz = 7600.0
      p.preemph = 0.97
      p.noise_scale = 0.0
      p.pad_end = False
      # Stack 3 frames and sub-sample by a factor of 3.
      p.left_context = 2
      p.output_stride = 3
      return p.cls(p)
  
file_path: cleverhans/cleverhans_v3.1.0/examples/adversarial_asr/tool.py
imports: from tensorflow.python import pywrap_tensorflow
  import numpy
  import tensorflow
  from lingvo.core import asr_frontend
  from lingvo.core import py_utils
label_desc: Use image node_id 2 for calling a global function with example usage: _CreateAsrFrontend() and returns: p