old_contents: from sklearn.externals import joblib
  from keras.models import load_model
  
  def loadCepsStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/ceps_ss.pkl')
      return saved_ss
  
  def loadMfccStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_ss.pkl')
      return saved_ss
  
  def loadMfcc10frameStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_10frame_ss.pkl')
      return saved_ss
  
  def loadMfcc3dStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_3d_ss.pkl')
      return saved_ss
  
  def loadMfcc1dStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_1d_ss.pkl')
      return saved_ss
  
  def loadKerasModel(file_name):
      loaded_model = load_model('./savedModels/' + file_name + '.h5')
      return loaded_model
  
  def loadCepsDenseModel():
      loaded_model = loadKerasModel('ceps_dense_model')
      return loaded_model
  
  def loadMfcc3dCnnModel():
      loaded_model = loadKerasModel('ceps_cnn3d_model')
      return loaded_model
  
  def loadMfcc1dCnnModel():
      loaded_model = loadKerasModel('ceps_cnn1d_model')
      return loaded_model
  
  def loadConvLstmModel():
      loaded_model = loadKerasModel('ceps_conv_lstm_model')
      return loaded_model
  
new_contents: from sklearn.externals import joblib
  from keras.models import load_model
  
  def loadCepsStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/ceps_ss.pkl')
      return saved_ss
  
  def loadMfccStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_ss.pkl')
      return saved_ss
  
  def loadMfcc10frameStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_10frame_ss.pkl')
      return saved_ss
  
  def loadMfcc3dStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_3d_ss.pkl')
      return saved_ss
  
  def loadMfcc1dStanderdScaler():
      saved_ss = joblib.load('./savedStanderdScaler/mfcc_1d_ss.pkl')
      return saved_ss
  
  def loadKerasModel(file_name):
      loaded_model = load_model('./savedModels/' + file_name + '.h5')
      return loaded_model
  
  def loadCepsDenseModel():
      loaded_model = loadKerasModel('ceps_dense_model')
      return loaded_model
  
  def loadMfcc3dCnnModel():
      loaded_model = loadKerasModel('ceps_cnn3d_model')
      return loaded_model
  
  def loadMfcc1dCnnModel():
      loaded_model = loadKerasModel('ceps_cnn1d_model')
      return loaded_model
  
  def loadConvLstmModel():
      loaded_model = loadKerasModel('ceps_conv_lstm_model')
      return loaded_model
  
  
subject: read saved models