class_docstr: ASR preprocess 
class_docstr_tok: ["ASR","preprocess"]
code: def __init__(self, config):
      super().__init__(config)
      taskconf = self.config["data"]["task"]
      assert taskconf["type"] == TASK_SET["asr"]
      self.subsampling_factor = taskconf["src"]["subsampling_factor"]
      self.preprocess_conf = taskconf["src"]["preprocess_conf"]
      # mode: asr or tts
      self.load_inputs_and_targets = LoadInputsAndTargets(
          mode=taskconf["type"],
          load_output=True,
          preprocess_conf=self.preprocess_conf,
      )
  
file_path: delta/delta/data/utils/espnet_utils.py
imports: import json
  from collections import OrderedDict
  import numpy
  from absl import logging
  from espnet.utils.cli_readers import file_reader_helper
  from espnet.utils.cli_writers import file_writer_helper
  from espnet.utils.training.batchfy import make_batchset
  from espnet.utils.io_utils import LoadInputsAndTargets
  from delta import utils
label_desc: Use image node_id 1 to create a new ASRConverter object from inherited base classes: Converter with example: obj = ASRConverter(config)