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Development of Javanese Speech Emotion Database (Java-SED)

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 10 No. 3 (2022) · hlm. 584–591

DOI
10.52549/ijeei.v10i3.3888
ISSN
2089-3272, 2089-3272
Terbit
2022-09-15
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

Javanese is one of the most widely spoken regional languages in Indonesia, alongside other regional languages. Emotions can be recognized in a variety of ways, including facial expression, behavior, and speech. The recognition of emotions through speech is a straightforward process, but the outcomes are quite 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, including happy, sad, fear, angry, neutral, and surprised. The cast consists of ten people between the ages of 20 and 30, 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 offered as open-source and is freely available to the research community at this link https://beais-uny.id/dataset/

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  • International Islamic University Malaysia
  • Yogyakarta State University
  • University of Kuala Lumpur
  • University of Indonesia
  • International Centre for Education in Islamic Finance
  • Politeknik Negeri Cilacap
  • Lac Hong University
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Rekan penulisOrganisasiArtikel bersama
Mira KartiwiInternational Islamic University Malaysia18
Ali SophianAfiliasi tidak diketahui6
Arselan AshrafAfiliasi tidak diketahui6
Mohamed Hadi HabaebiInternational Islamic University Malaysia5
Muslikhin MuslikhinAfiliasi tidak diketahui4
Siti Hajar YusoffInternational Islamic University Malaysia3
Rashidah Funke OlanrewajuInternational Islamic University Malaysia3
Malik Arman MorshidiInternational Islamic University Malaysia3
Suprapto SupraptoNational Research and Innovation Agency3
Hasmah MansorInternational Islamic University Malaysia2
Noreha Abdul MalikInternational Islamic University Malaysia2
Suriza Ahmad ZabidiAfiliasi tidak diketahui2
Mir Suhail AlamInternational Islamic University Malaysia2
Faisal Ahmed AssaigAfiliasi tidak diketahui2
Amart SulongInternational Islamic University Malaysia1
Othman Omran KhalifaInternational Islamic University Malaysia1
Hassan DaoUniversity of Kuala Lumpur1
Abdul MutholibInternational Islamic University Malaysia1
Intan Rahmithul Husna YaldiInternational Islamic University Malaysia1
Yasmin Mahira Saiful MunirInternational Islamic University Malaysia1
Tika ArundinaUniversity of Indonesia1
Mohd Azmi OmarInternational Centre for Education in Islamic Finance1
Nur Atikah Muhamat SalehInternational Islamic University Malaysia1
W. IdrisInternational Islamic University Malaysia1
Siti Noorjannah IbrahimInternational Islamic University Malaysia1
Didik HariyantoYogyakarta State University1
Arif Ainur RafiqPoliteknik Negeri Cilacap1
Nguyen Vu QuynhLac Hong University1
Herjuna ArtantoAfiliasi tidak diketahui1
Muhammad Hamdan Hasan GaniAfiliasi tidak diketahui1
Farah Diyana Abdul RahmanAfiliasi tidak diketahui1
Muhammad Fahreza AlghifariAfiliasi tidak diketahui1
Amir Akramin ShafieAfiliasi tidak diketahui1
Norfarah Nadia IsmailAfiliasi tidak diketahui1
Ali Aryo BawonoAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Development of Javanese Speech Emotion Database (Java-SED)</dc:title>
	<dc:creator xml:lang="en">Arifin, Fatchul</dc:creator>
	<dc:creator xml:lang="en">Priambodo, Ardy Seto</dc:creator>
	<dc:creator xml:lang="en">Nasuha, Aris</dc:creator>
	<dc:creator xml:lang="en">Winursito, Anggun</dc:creator>
	<dc:creator xml:lang="en">Gunawan, Teddy Surya</dc:creator>
	<dc:subject xml:lang="en">speech emotion</dc:subject>
	<dc:subject xml:lang="en">Javanese database</dc:subject>
	<dc:subject xml:lang="en">speech emotion recognition</dc:subject>
	<dc:subject xml:lang="en">machine learning</dc:subject>
	<dc:description xml:lang="en">Javanese is one of the most widely spoken regional languages in Indonesia, alongside other regional languages. Emotions can be recognized in a variety of ways, including facial expression, behavior, and speech. The recognition of emotions through speech is a straightforward process, but the outcomes are quite 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, including happy, sad, fear, angry, neutral, and surprised. The cast consists of ten people between the ages of 20 and 30, 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 offered as open-source and is freely available to the research community at this  link https://beais-uny.id/dataset/</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2022-09-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/3888</dc:identifier>
	<dc:identifier>10.52549/ijeei.v10i3.3888</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 10 No. 3: September 2022; 584-591</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/3888/763</dc:relation>
</oai_dc:dc>