A review on emotion recognition algorithms using speech analysis

Gunawan, Teddy Surya and Alghifari, Muhammad Fahreza and Morshidi, Malik Arman and Kartiwi, Mira (2018) A review on emotion recognition algorithms using speech analysis. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 6 (1). pp. 12-20. ISSN 2089-3272

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Abstract

In recent years, there is a growing interest in speech emotion recognition (SER) by analyzing input speech. SER can be considered as simply pattern recognition task which includes features extraction, classifier, and speech emotion database. The objective of this paper is to provide a comprehensive review on various literature available on SER. Several audio features are available, including linear predictive coding coefficients (LPCC), Mel-frequency cepstral coefficients (MFCC), and Teager energy based features. While for classifier, many algorithms are available including hidden Markov model (HMM), Gaussian mixture mdoel (GMM), vector quantization (VQ), artificial neural networks (ANN), and deep neural networks (DNN). In this paper, we also reviewed various speech emotion database. Finally, recent related works on SER using DNN will be discussed.

Item Type:	Article (Journal)
Additional Information:	5588/62955
Uncontrolled Keywords:	Speech emotion recognition, MFCC, Deep neural networks, Emotion database
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	10 Apr 2018 15:11
Last Modified:	04 Jul 2018 10:39
URI:	http://irep.iium.edu.my/id/eprint/62955

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