A Comprehensive Review of Speech Emotion Recognition Systems

IEEE Access

Teddy Surya Gunawan¹  Syed Asif Ahmad Qadri¹  Taiba Majid Wani¹  Mira Kartiwi²  Eliathamby Ambikairajah³ 

[1] Department of Electrical and Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia;Department of Information Systems, International Islamic University Malaysia, Kuala Lumpur, Malaysia;School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia;

关键词: Speech emotion recognition;    database;    preprocessing;    feature extraction;    classifier;   

DOI  :  10.1109/ACCESS.2021.3068045

来源: DOAJ

【 摘 要 】

During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, an SER system targets the speaker’s existence of varied emotions by extracting and classifying the prominent features from a preprocessed speech signal. However, the way humans and machines recognize and correlate emotional aspects of speech signals are quite contrasting quantitatively and qualitatively, which present enormous difficulties in blending knowledge from interdisciplinary fields, particularly speech emotion recognition, applied psychology, and human-computer interface. The paper carefully identifies and synthesizes recent relevant literature related to the SER systems’ varied design components/methodologies, thereby providing readers with a state-of-the-art understanding of the hot research topic. Furthermore, while scrutinizing the current state of understanding on SER systems, the research gap’s prominence has been sketched out for consideration and analysis by other related researchers, institutions, and regulatory bodies.

【 授权许可】

Unknown