Speech Based Emotion Recognition

Abstract

Abstract: In this paper we are exhibiting our Final Year Project which is Speech Emotion Recognition. Today's hot study issue is speech and emotion detection, with the goal of improving human-machine connection. Currently, the majority of research in this field relies on discriminator extraction to classify emotions into several categories. The majority of the present research focuses on the utterance of words that are employed in language-dependent lexical analysis for emotion detection. This study employs strategies to classify emotions into five categories: anger, calm, anxiety, happiness, and sorrow using Machine Learning algorithm Convolutional Neural Network.