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Speech emotion recognition using feature fusion of TEO and MFCC on multilingual databases

Ahmad Qadri, Syed Asif and Gunawan, Teddy Surya and Kartiwi, Mira and Mansor, Hasmah (2020) Speech emotion recognition using feature fusion of TEO and MFCC on multilingual databases. In: Springer's Lecture Nores in Electrical Engineering (LNEE). Springer, pp. 1-10. (In Press)

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Abstract

In the speech signal, emotion is considered one of the most critical elements. For the recognition of emotions, the field of speech emotion recognition came into ex-istence. Speech Emotion Recognition (SER) is becoming an area of research in-terest in the last few years. A typical SER system focuses on extracting features such as pitch frequency, formant features, energy-related features, and spectral features from speech, tailing it with a classification quest to foresee different clas-ses of emotion. The critical issue to be addressed for a successful SER system is the emotional feature extraction, which can be solved by using different feature extraction techniques. In this paper, along with Teager Energy Operator (TEO) and Mel Frequency Cepstral Coefficients (MFCC) a trailblazing feature extrac-tion method, a fusion of MFCC and TEO as Teager-MFCC (T-MFCC) is used for the recognition of energy-based emotions. We have used three corpora of emotions in German, English, and Hindi to develop the multilingual SER system. The classification of these energy-based emotions is done by Deep Neural Net-work (DNN). It is found that TEO achieves a better recognition rate compared to MFCC and T-MFCC.

Item Type: Book Chapter
Additional Information: 5588/82534
Uncontrolled Keywords: Speech Emotion Recognition, Deep Neural Network, Multilingual database, TEO, MFCC
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: Dr Teddy Surya Gunawan
Date Deposited: 18 Sep 2020 10:58
Last Modified: 18 Sep 2020 10:58
URI: http://irep.iium.edu.my/id/eprint/82534

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