Development of HCUDB: An Acted-Emotional Speech Database Considering Differences in Emotion Labels and Acting Methods

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Journal
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Published
2025-11-14
DOI
https://doi.org/10.3156/jsoft.37.4_725
Primary Topic
Emotion and Mood Recognition
Type
article
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article

Development of HCUDB: An Acted-Emotional Speech Database Considering Differences in Emotion Labels and Acting Methods

Kazuya Mera, Toshiyuki Takezawa, Masashi Nakayama, Yoshiaki Kurosawa
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Emotion and Mood Recognition
article

Development of HCUDB: An Acted-Emotional Speech Database Considering Differences in Emotion Labels and Acting Methods

Kazuya Mera, Toshiyuki Takezawa, Masashi Nakayama, Yoshiaki Kurosawa
article en

Abstract

No abstract available for this paper.
Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsVol. 37(4)
Hiroshima City University (JP)
Openalex Percentile: Top 63%
Emotion and Mood Recognition
DOIOpen Access PDFOpenAlex
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Development of HCUDB: An Acted-Emotional Speech Database Considering Differences in Emotion Labels and Acting Methods — Kazuya Mera, Toshiyuki Takezawa, et al. · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2025) | TGRS Research Map | TGRS