class_docstr: Reader for the TIMIT corpus (or any other corpus with the same
  file layout and use of file formats).  The corpus root directory
  should contain the following files:
  
    - timitdic.txt: dictionary of standard transcriptions
    - spkrinfo.txt: table of speaker information
  
  In addition, the root directory should contain one subdirectory
  for each speaker, containing three files for each utterance:
  
    - <utterance-id>.txt: text content of utterances
    - <utterance-id>.wrd: tokenized text content of utterances
    - <utterance-id>.phn: phonetic transcription of utterances
    - <utterance-id>.wav: utterance sound file
class_docstr_tok: ["Reader","for","the","TIMIT","corpus","(","or","any","other","corpus","with","the","same","file","layout","and","use","of","file","formats",")",".","The","corpus","root","directory","should","contain","the","following","files",":","-","timitdic.txt",":","dictionary","of","standard","transcriptions","-","spkrinfo.txt",":","table","of","speaker","information","In","addition",",","the","root","directory","should","contain","one","subdirectory","for","each","speaker",",","containing","three","files","for","each","utterance",":","-","<","utterance-id",">",".txt",":","text","content","of","utterances","-","<","utterance-id",">",".wrd",":","tokenized","text","content","of","utterances","-","<","utterance-id",">",".phn",":","phonetic","transcription","of","utterances","-","<","utterance-id",">",".wav",":","utterance","sound","file"]
code: def sents(self, utterances=None):
      results = []
      for fileid in self._utterance_fileids(utterances, ".wrd"):
          with self.open(fileid) as fp:
              results.append(
                  [line.split()[-1] for line in fp if line.strip()]
              )
      return results
  
imports: import sys
  import time
  from nltk.corpus.reader.api import *
  from nltk.internals import import_from_stdlib
  from nltk.tree import Tree
label_desc: Use image node_id 14 for calling the TimitCorpusReader obj's underlying member method code with example usage: obj.sents(utterances) and returns: results