class_docstr: custom batch converter for kaldi
  :param int subsampling_factor: The subsampling factor
  :param object preprocess_conf: The preprocessing config
class_docstr_tok: ["custom","batch","converter","for","kaldi",":","param","int","subsampling_factor",":","The","subsampling","factor",":","param","object","preprocess_conf",":","The","preprocessing","config"]
docstr: candy _config
docstr_tok: ["candy","_config"]
code: def config(self):
      """candy _config"""
      return self._config
  
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 2 for calling the Converter obj's underlying member method code with example usage: obj.config() and returns: self