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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Malik Arman Morshidi
ECE Department Faculty of Engineering International Islamic University Malaysia
Computer Science & IT Electrical & Electronics Engineering

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A Review on Emotion Recognition Algorithms using Speech Analysis Teddy Surya Gunawan; Muhammad Fahreza Alghifari; Malik Arman Morshidi; Mira Kartiwi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 1: March 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i1.409

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 model (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.
Co-Authors Mira Kartiwi Muhammad Fahreza Alghifari Teddy Surya Gunawan