code: def speech_params(
      sr=16000,
      bins=40,
      dither=True,
      use_delta_deltas=True,
      cmvn=False,
      cmvn_path="",
  ):
      """feat params"""
      p = HParams()
      p.add_hparam("audio_sample_rate", sr)
      p.add_hparam("audio_channels", 1)
      p.add_hparam("audio_preemphasis", 0.97)
      if dither:
          p.add_hparam("audio_dither", 1.0 / np.iinfo(np.int16).max)
      else:
          p.add_hparam("audio_dither", 0.0)
      p.add_hparam("audio_frame_length", 25.0)
      p.add_hparam("audio_frame_step", 10.0)
      p.add_hparam("audio_lower_edge_hertz", 20.0)
      p.add_hparam("audio_upper_edge_hertz", sr / 2.0)
      p.add_hparam("audio_num_mel_bins", bins)
      p.add_hparam("audio_add_delta_deltas", use_delta_deltas)
      p.add_hparam("num_zeropad_frames", 0)
      p.add_hparam("audio_global_cmvn", cmvn)
      p.add_hparam("audio_cmvn_path", cmvn_path)
      return p
  
file_path: delta/delta/data/feat/tf_speech_feature.py
imports: import functools
  import numpy
  import delta.compat
  import scipy.signal
  from delta import utils
  from delta.utils.hparam import HParams
label_desc: Use image node_id 4 for calling a global function with example usage: speech_params(sr, bins, dither, use_delta_deltas, cmvn, cmvn_path) and returns: p