We propose a long-short term memory and a convolutional neural network machine learning model to predict four main emotional categories from high-level semantic and low-level acoustic speech features.
Sentiment Analysis
We combine two databases to train a LSTM network.
Mood Classification
We use a CNN over feature vectors obtained from a combination of Speech Corpus.
Emotional Machines 