SPEECH EMOTION RECOGNITION SYSTEM

SPEECH EMOTION RECOGNITION  SYSTEM

Vidhya.S1, Arish.M 2, Dhanushkodi.L3, Indirajith.R4, Navojith sankar.M5,

Assistant Professor1, Department of Computer Science and Engineering,

UG Scholar2,3,4,5, Department of Computer Science and Engineering,

Tirupur, Tamil Nadu, India.

Abstract—Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, including many well-established speech analysis and classification techniques. Deep Learning techniques have been recently proposed as an alternative to traditional techniques in SER. This paper presents an overview of Deep Learning techniques and discusses some recent literature where these methods are utilized for speech-based emotion recognition. The review covers databases used, emotions extracted, contributions made toward speech emotion recognition and limitations related to it.

Keywords—Speech emotion recognition, deep learning, deep neural network, recurrent neural network, database, convolutional neural network, preprocessing classifier, future extraction.