Speech Emotion Recognition Using Librosa

Abstract

Emotion detection has become one of biggest marketing strategies in which mood of consumer plays an important role. So to detect current emotion of person and suggest the appropriate product or help him accordingly, the demand of the product will be increased or the company. The Emotion detection is natural for humans but it is very difficult task for machines. In today's world detecting emotions is one of the most important marketing strategy. For this purpose we decided to do a project in which we could detect a person’s emotion just by their voice Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset.