code: def get_feature_meta(
      config: ModelConfigDict,
      column,
      preprocessing_parameters: PreprocessingConfigDict,
      backend,
      is_input_feature: bool,
  ) -> FeatureMetadataDict:
      first_audio_file_path = column.head(1).iloc[0]
      _, sampling_rate_in_hz = torchaudio.load(first_audio_file_path)
  
      feature_dim = AudioFeatureMixin._get_feature_dim(
          preprocessing_parameters, sampling_rate_in_hz
      )
      audio_file_length_limit_in_s = preprocessing_parameters[
          "audio_file_length_limit_in_s"
      ]
      max_length = AudioFeatureMixin._get_max_length_feature(
          preprocessing_parameters,
          sampling_rate_in_hz,
          audio_file_length_limit_in_s,
      )
      return {
          "feature_dim": feature_dim,
          "sampling_rate_in_hz": sampling_rate_in_hz,
          "max_length": max_length,
          "reshape": (max_length, feature_dim),
      }
  
imports: import logging
  import os
  from typing import Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  import torchaudio
  from packaging import version
  from ludwig.constants import AUDIO, AUDIO_FEATURE_KEYS, COLUMN, NAME, PREPROCESSING, PROC_COLUMN, SRC, TYPE
  from ludwig.features.base_feature import BaseFeatureMixin
  from ludwig.features.sequence_feature import SequenceInputFeature
  from ludwig.schema.features.audio_feature import AudioInputFeatureConfig
  from ludwig.types import FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.audio_utils import calculate_mean, calculate_var, get_default_audio, get_fbank, get_group_delay, get_length_in_samp, get_max_length_stft_based, get_non_symmetric_length, get_phase_stft_magnitude, get_stft_magnitude, is_torch_audio_tuple, read_audio_from_bytes_obj, read_audio_from_path
  from ludwig.utils.data_utils import get_abs_path
  from ludwig.utils.fs_utils import has_remote_protocol
  from ludwig.utils.misc_utils import set_default_value
  from ludwig.utils.types import TorchscriptPreprocessingInput
label_desc: Use image node_id 3 for calling the AudioFeatureMixin obj's underlying member method code with example usage: obj.get_feature_meta(config, column, preprocessing_parameters, backend, is_input_feature) and returns: dict