class_docstr: Base config to definge audio processing parameters. It is used to initialize
  ```TTS.utils.audio.AudioProcessor.```
  
  Args:
      fft_size (int):
          Number of STFT frequency levels aka.size of the linear spectogram frame. Defaults to 1024.
  
      win_length (int):
          Each frame of audio is windowed by window of length ```win_length``` and then padded with zeros to match
          ```fft_size```. Defaults to 1024.
  
      hop_length (int):
          Number of audio samples between adjacent STFT columns. Defaults to 1024.
  
      frame_shift_ms (int):
          Set ```hop_length``` based on milliseconds and sampling rate.
  
      frame_length_ms (int):
          Set ```win_length``` based on milliseconds and sampling rate.
  
      stft_pad_mode (str):
          Padding method used in STFT. 'reflect' or 'center'. Defaults to 'reflect'.
  
      sample_rate (int):
          Audio sampling rate. Defaults to 22050.
  
      resample (bool):
          Enable / Disable resampling audio to ```sample_rate```. Defaults to ```False```.
  
      preemphasis (float):
          Preemphasis coefficient. Defaults to 0.0.
  
      ref_level_db (int): 20
          Reference Db level to rebase the audio signal and ignore the level below. 20Db is assumed the sound of air.
          Defaults to 20.
  
      do_sound_norm (bool):
          Enable / Disable sound normalization to reconcile the volume differences among samples. Defaults to False.
  
      log_func (str):
          Numpy log function used for amplitude to DB conversion. Defaults to 'np.log10'.
  
      do_trim_silence (bool):
          Enable / Disable trimming silences at the beginning and the end of the audio clip. Defaults to ```True```.
  
      do_amp_to_db_linear (bool, optional):
          enable/disable amplitude to dB conversion of linear spectrograms. Defaults to True.
  
      do_amp_to_db_mel (bool, optional):
          enable/disable amplitude to dB conversion of mel spectrograms. Defaults to True.
  
      pitch_fmax (float, optional):
          Maximum frequency of the F0 frames. Defaults to ```640```.
  
      pitch_fmin (float, optional):
          Minimum frequency of the F0 frames. Defaults to ```1```.
  
      trim_db (int):
          Silence threshold used for silence trimming. Defaults to 45.
  
      do_rms_norm (bool, optional):
          enable/disable RMS volume normalization when loading an audio file. Defaults to False.
  
      db_level (int, optional):
          dB level used for rms normalization. The range is -99 to 0. Defaults to None.
  
      power (float):
          Exponent used for expanding spectrogra levels before running Griffin Lim. It helps to reduce the
          artifacts in the synthesized voice. Defaults to 1.5.
  
      griffin_lim_iters (int):
          Number of Griffing Lim iterations. Defaults to 60.
  
      num_mels (int):
          Number of mel-basis frames that defines the frame lengths of each mel-spectrogram frame. Defaults to 80.
  
      mel_fmin (float): Min frequency level used for the mel-basis filters. ~50 for male and ~95 for female voices.
          It needs to be adjusted for a dataset. Defaults to 0.
  
      mel_fmax (float):
          Max frequency level used for the mel-basis filters. It needs to be adjusted for a dataset.
  
      spec_gain (int):
          Gain applied when converting amplitude to DB. Defaults to 20.
  
      signal_norm (bool):
          enable/disable signal normalization. Defaults to True.
  
      min_level_db (int):
          minimum db threshold for the computed melspectrograms. Defaults to -100.
  
      symmetric_norm (bool):
          enable/disable symmetric normalization. If set True normalization is performed in the range [-k, k] else
          [0, k], Defaults to True.
  
      max_norm (float):
          ```k``` defining the normalization range. Defaults to 4.0.
  
      clip_norm (bool):
          enable/disable clipping the our of range values in the normalized audio signal. Defaults to True.
  
      stats_path (str):
          Path to the computed stats file. Defaults to None.
docstr: Check config fields
code: def check_values(
      self,
  ):
      """Check config fields"""
      c = asdict(self)
      check_argument(
          "num_mels", c, restricted=True, min_val=10, max_val=2056
      )
      check_argument(
          "fft_size", c, restricted=True, min_val=128, max_val=4058
      )
      check_argument(
          "sample_rate", c, restricted=True, min_val=512, max_val=100000
      )
      check_argument(
          "frame_length_ms",
          c,
          restricted=True,
          min_val=10,
          max_val=1000,
          alternative="win_length",
      )
      check_argument(
          "frame_shift_ms",
          c,
          restricted=True,
          min_val=1,
          max_val=1000,
          alternative="hop_length",
      )
      check_argument(
          "preemphasis", c, restricted=True, min_val=0, max_val=1
      )
      check_argument(
          "min_level_db", c, restricted=True, min_val=-1000, max_val=10
      )
      check_argument(
          "ref_level_db", c, restricted=True, min_val=0, max_val=1000
      )
      check_argument("power", c, restricted=True, min_val=1, max_val=5)
      check_argument(
          "griffin_lim_iters",
          c,
          restricted=True,
          min_val=10,
          max_val=1000,
      )
  
      # normalization parameters
      check_argument("signal_norm", c, restricted=True)
      check_argument("symmetric_norm", c, restricted=True)
      check_argument(
          "max_norm", c, restricted=True, min_val=0.1, max_val=1000
      )
      check_argument("clip_norm", c, restricted=True)
      check_argument(
          "mel_fmin", c, restricted=True, min_val=0.0, max_val=1000
      )
      check_argument(
          "mel_fmax", c, restricted=True, min_val=500.0, allow_none=True
      )
      check_argument(
          "spec_gain", c, restricted=True, min_val=1, max_val=100
      )
      check_argument("do_trim_silence", c, restricted=True)
      check_argument("trim_db", c, restricted=True)
  
file_path: TTS/TTS/config/shared_configs.py
imports: from dataclasses import asdict, dataclass
  from typing import List
  from coqpit import Coqpit, check_argument
  from trainer import TrainerConfig
label_desc: Use image node_id 1 for calling the BaseAudioConfig obj's underlying member method code with example usage: obj.check_values() without return types