Abstract
Abstract: Emotion recognition is a significant part in designing a better Human- Computer Interaction (HCI) System. Increasing applications of Emotion recognition from speech has been found in Education, gaming, medicine and automobiles industries. And after the Covid-19 pandemic identification of human emotions and action upon is the need of the hour. In this paper we try to identify four emotions by training a CNN model using Manipuri speech data set. We test our model using real time speech signal. Our model identifies sad emotion accurately but fails to identify angry emotion.
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