A Review of the Advancement in Speech Emotion Recognition for Indo-Aryan and Dravidian Languages. (1st December 2022)

• Record Type: Journal Article
• Authors: Alam Monisha, Syeda Tamanna; Sultana, Sadia
• Other Names: Bellotti Francesco Academic Editor.
• Is Part Of: Advances in human-computer interaction. Volume 2022(2022)
• Publication Date: 2022-12-01
• Subjects: Human-computer interaction -- Periodicals; Human-computer interaction; Periodicals; Electronic journals; 004.019
• DOI: 10.1155/2022/9602429
• Languages: English
• ISSNs: 1687-5893

Abstract

Abstract : Speech emotion recognition (SER) has grown to be one of the most trending research topics in computational linguistics in the last two decades. Speech being the primary communication medium, understanding the emotional state of humans from speech and responding accordingly have made the speech emotion recognition system an essential part of the human-computer interaction (HCI) field. Although there are a few review works carried out for SER, none of them discusses the development of SER system for the Indo-Aryan or Dravidian language families. This paper focuses on some studies carried out for the development of an automatic SER system for Indo-Aryan and Dravidian languages. Besides, it presents a brief study of the prominent databases available for SER experiments. Some remarkable research works on the identification of emotion from the speech signal in the last two decades have also been discussed in this paper.