Volume : VIII, Issue : I, January - 2019

EMOTION DETECTION THROUGH AUDIO USING MACHINE LEARNING

V. Kranthi Sai Reddy

Abstract :

 Emotion recognition through Audio signal is a recent research topic in the Human Computer Interaction. The demand was risen for increasing communication interface between the humans and digital media. Many researchers are currently working in order to improve their accuracy. But still there is a lack of complete system which can recognize emotions from speech. In order to make the human and the digital machine interaction more natural, the computer should be able to recognize emotional states in the same way as human. The voice of a person plays an important role in analyzing the people. From voice of the person we are detecting the emotion of the person. Emotion detection has its importance in forensics, games, in security purposes and of course in our day to day life. To detect the emotion pitch, speaking rate and energy are taken as features and AdaBoost with C4.5 ML algorithm is taken for classification and achieved 93.12% accuracy. < clear="all" style="page–eak–before:always;mso–eak–type:section–eak" />

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

EMOTION DETECTION THROUGH AUDIO USING MACHINE LEARNING, V. Kranthi Sai Reddy INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-1 | January-2019

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