Speech Emotion Recognition

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.