This repo is for the final project done for the graduate level machine learning course titled "Joint Modeling of Word and Emotion given Speech Signal"
Sep ’16 – Dec ‘16
- Using Contextual BLSTM networks to predict the next word in speech using previous words and associated emotion tags.
- Our architecture observed a 2.89% increase in prediction accuracy than a baseline system that did not model the emotion information.