Emotion detection from speech using Bi-directional LSTM networks and attention mechanism in Keras

This post is dedicated to the development of an artificial intelligence application capable of identifying the emotions expressed through the voice in spoken language. The classification model focuses on seven different emotions (*anger*, *boredom*, *disgust*, *fear*, *happiness*, *sadness*, *neutral*) and is enhanced with the attention mechanism.