Directory structure

• code

  • TextRNNLSTMModel.py (Text-RNN)
  • SpeechCNNModel (Speech-CNN)
  • SpeechAndTextCombined (RNN-CNN-ensemble)

• results

  • Train results plot
  • Test output

Sample -random utterence list similarly ordered for Speech and text data

IMS Directory Structure -/mount/arbeitsdaten31/studenten1/deeplearning/2017/infy -train set (training batch) -test set (testing batch) -dev set (dev batch) -text (text inputs , glove) -model (saved model)

Instruction

-Speech file main function contains two lines calling parameter for two functions, one is commented out
-Ensemble file also follows the same

Dependency

-Keras
-Numpy
-Panda
-Gzip
-tensorflow
-matplotlib