code: def read_timit_txt(f):
      f = open(f)
      line = f.readlines()[0].strip().split(" ")
      line = line[2:]
      line = " ".join(line)
      line = line.replace(".", "").lower()
      line = filter(lambda c: c in CHARSET, line)
      f.close()
      ret = []
      for c in line:
          ret.append(WORD_DIC[c])
      return np.asarray(ret)
  
imports: import argparse
  import numpy
  import os
  import string
  import bob.ap
  import scipy.io.wavfile
  from tensorpack.dataflow import DataFlow, LMDBSerializer
  from tensorpack.utils import fs, logger, serialize, get_tqdm
  from tensorpack.utils.argtools import memoized
  from tensorpack.utils.stats import OnlineMoments
label_desc: Use image node_id 1 for calling a global function with example usage: read_timit_txt(f) and returns: np