Speech Emotion Recognition Based on Machine Learning

Speech Emotion Recognition Based on Machine Learning

Pallavi E.S, Srishti Singh, Supreetha Fernandes, Yukta Mrutunjay Hadrihalli Mr. Sayed Aftab Ahamed
Students, Department of Information Science, JNNCE, Shivamogga, India

Assistant Professor, Department of Information Science, JNNCE, Shivamogga, India

Abstract: The speech is the most effective means of communication, to recognize the emotions in speech is the most crucial task. In this paper we are using the Artificial Neural Network to recognize the emotions in speech. Hence, providing an efficient and accurate technique for speech based emotion recognition is also an important task. This study is focused on seven basic human emotions (angry, disgust, fear, happy, neutral, surprise, sad). The training and validating accuracy and also lose can be seen in a graph while training the dataset.According to it confusion matrix for model is created. The features frequency, pitch, amplitude and format of speech is used ti recognize seven basic emotions from speech.

Keywords: Emotion detection, Emotion classification, verbal emotion classification.