code: def trainHMMsegmenter_fromfile(
      wavFile, gtFile, hmmModelName, mt_win, mt_step
  ):
      if not os.path.isfile(wavFile):
          print("Error: wavfile does not exist!")
          return
      if not os.path.isfile(gtFile):
          print("Error: groundtruth does not exist!")
          return
  
      aS.train_hmm_from_file(
          wavFile, gtFile, hmmModelName, mt_win, mt_step
      )
  
imports: from __future__ import print_function
  import argparse
  import os
  import numpy
  import glob
  import matplotlib.pyplot
  import ShortTermFeatures
  import MidTermFeatures
  import audioTrainTest
  import audioSegmentation
  import audioVisualization
  import audioBasicIO
  import scipy.io.wavfile
  import matplotlib.patches
label_desc: Use image node_id 15 for calling a global function with example usage: trainHMMsegmenter_fromfile(wavFile, gtFile, hmmModelName, mt_win, mt_step) without return types