The necessity of emotion recognition from speech signals for natural and effective human-robot interaction in society 5.0

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dc.authorid0000-0003-1606-4079en_US
dc.contributor.authorSönmez, Yeşim Ülgen
dc.contributor.authorVarol, Asaf
dc.date.accessioned2024-07-12T20:58:06Z
dc.date.available2024-07-12T20:58:06Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThe history of humanity has reached Industry 4.0 that aims to the integration of information technologies and especially artificial intelligence with all life-sustaining mechanisms in the 21st century, and consecutively, the transformation of Society 5.0 has begun. Society 5.0 means a smart society in which humans share life with physical robots and software robots as well as smart devices based on augmented reality. Industry 4.0 contains main structures such as the internet of things, big data analytics, digital transformation, cyber-physical systems, artificial intelligence, and business processes optimization. It is impossible to consider the machines to be without emotions and emotional intelligence within the transformation of smart tools and artificial intelligence, in addition, while it is planned to give most of the commands with voice and speaking, it became more important to develop algorithms that can detect emotions. In the smart society, new and rapid methods are needed for speech recognition, emotion recognition, and speech emotion recognition areas to maximize human-computer (HCI) or human-robot interaction (HRI) and collaboration. In this study, speech recognition and speech emotion recognition studies in robot technology are investigated and developments are revealed.en_US
dc.identifier.citationSönmez, Y.Ü. and Varol, A. (2022). The necessity of emotion recognition from speech signals for natural and effective human-robot interaction in society 5.0. 10th International Symposium on Digital Forensics and Security (ISDFS), p.1-8.en_US
dc.identifier.doi10.1109/ISDFS55398.2022.9800837
dc.identifier.endpage8en_US
dc.identifier.isbn9.78167E+12
dc.identifier.scopus2-s2.0-85134246625en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.prg/10.1109/ISDFS55398.2022.9800837
dc.identifier.urihttps://hdl.handle.net/20.500.12415/3140
dc.identifier.wosWOS:000852444000056en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorVarol, Asaf
dc.language.isoenen_US
dc.relation.ispartof10th International Symposium on Digital Forensics and Security (ISDFS)en_US
dc.relation.publicationcategoryUluslararası Konferans Öğesien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY06086
dc.subjectSpeech dataen_US
dc.subjectSpeech emotion recognitionen_US
dc.subjectSpeech recognitionen_US
dc.subjectRobotsen_US
dc.titleThe necessity of emotion recognition from speech signals for natural and effective human-robot interaction in society 5.0en_US
dc.typeConference Object
dspace.entity.typePublication

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