code: def __init__(
      self,
      sample_rate=None,
      resample=False,
      num_mels=None,
      min_level_db=None,
      frame_shift_ms=None,
      frame_length_ms=None,
      hop_length=None,
      win_length=None,
      ref_level_db=None,
      fft_size=1024,
      power=None,
      preemphasis=0.0,
      signal_norm=None,
      symmetric_norm=None,
      max_norm=None,
      mel_fmin=None,
      mel_fmax=None,
      spec_gain=20,
      stft_pad_mode="reflect",
      clip_norm=True,
      griffin_lim_iters=None,
      do_trim_silence=False,
      trim_db=60,
      do_sound_norm=False,
      stats_path=None,
      verbose=True,
      **_,
  ):
      # setup class attributed
      self.sample_rate = sample_rate
      self.resample = resample
      self.num_mels = num_mels
      self.min_level_db = min_level_db or 0
      self.frame_shift_ms = frame_shift_ms
      self.frame_length_ms = frame_length_ms
      self.ref_level_db = ref_level_db
      self.fft_size = fft_size
      self.power = power
      self.preemphasis = preemphasis
      self.griffin_lim_iters = griffin_lim_iters
      self.signal_norm = signal_norm
      self.symmetric_norm = symmetric_norm
      self.mel_fmin = mel_fmin or 0
      self.mel_fmax = mel_fmax
      self.spec_gain = float(spec_gain)
      self.stft_pad_mode = stft_pad_mode
      self.max_norm = 1.0 if max_norm is None else float(max_norm)
      self.clip_norm = clip_norm
      self.do_trim_silence = do_trim_silence
      self.trim_db = trim_db
      self.do_sound_norm = do_sound_norm
      self.stats_path = stats_path
      # setup stft parameters
      if hop_length is None:
          # compute stft parameters from given time values
          self.hop_length, self.win_length = self._stft_parameters()
      else:
          # use stft parameters from config file
          self.hop_length = hop_length
          self.win_length = win_length
      assert min_level_db != 0.0, " [!] min_level_db is 0"
      assert (
          self.win_length <= self.fft_size
      ), " [!] win_length cannot be larger than fft_size"
      members = vars(self)
      if verbose:
          print(" > Setting up Audio Processor...")
          for key, value in members.items():
              print(" | > {}:{}".format(key, value))
      # create spectrogram utils
      self.mel_basis = self._build_mel_basis()
      self.inv_mel_basis = np.linalg.pinv(self._build_mel_basis())
      # setup scaler
      if stats_path:
          (
              mel_mean,
              mel_std,
              linear_mean,
              linear_std,
              _,
          ) = self.load_stats(stats_path)
          self.setup_scaler(mel_mean, mel_std, linear_mean, linear_std)
          self.signal_norm = True
          self.max_norm = None
          self.clip_norm = None
          self.symmetric_norm = None
  
imports: import librosa
  import soundfile
  import numpy
  import scipy.io.wavfile
  import scipy.signal
  from TTS.tts.utils.data import StandardScaler
label_desc: Use image node_id 1 to create a new AudioProcessor object from inherited base classes: object with example: obj = AudioProcessor(sample_rate, resample, num_mels, min_level_db, frame_shift_ms, frame_length_ms, hop_length, win_length, ref_level_db, fft_size, power, preemphasis, signal_norm, symmetric_norm, max_norm, mel_fmin, mel_fmax, spec_gain, stft_pad_mode, clip_norm, griffin_lim_iters, do_trim_silence, trim_db, do_sound_norm, stats_path, verbose)