Fatchul Arifin, Ardy Seto Priambodo, Aris Nasuha, Anggun Winursito, Teddy Surya Gunawan
Javanese is one of Indonesia's most widely spoken regional languages, alongside other regional languages. Emotions can be recognized in various ways, including facial expression, behavior, and speech. Recognizing emotions through speech is a straightforward process, but the outcomes are significant. Currently, there is no database for identifying emotions in Javanese speech. This paper aims to describe the creation of a Javanese emotional speech database. Actors from the Kamasetra UNY community who are accustomed to performing in dramatic roles participated in the recording. The location where recordings are made is free of interference and noise. The actors of Kamasetra have simulated six types of emotions: happy, sad, fear, angry, neutral, and surprised. The cast comprises ten people between 20 and 30 years old, including five men and five women. Both humans (30 Javanese-speaking verifiers ranging in age from 17 to 50) and a machine learning system (30 Javanese-speaking verifiers with ages between 17 and 50) verify the database that has been created. The verification results indicate that the database can be used for Javanese emotion recognition. The developed database is open-source and freely available to the research community at this link https://beais-uny.id/dataset/. © 2022 Institute of Advanced Engineering and Science. All rights reserved.
Department of Electronics and Informatics Engineering of Education, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock