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  1. Proceedings of the LREC 2018 Special Speech Sessions

Challenges of building an authentic emotional speech corpus of spontaneous Japanese dialog

https://doi.org/10.15084/00001910
https://doi.org/10.15084/00001910
1fe1e8c3-80d7-4710-b0f8-357aaec42369
名前 / ファイル ライセンス アクション
lrec2018sss_arimoto.pdf lrec2018sss_arimoto.pdf (297.3 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2019-03-06
タイトル
タイトル Challenges of building an authentic emotional speech corpus of spontaneous Japanese dialog
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 emotional speech corpus
キーワード
言語 en
主題Scheme Other
主題 Japanese dialog speech
キーワード
言語 en
主題Scheme Other
主題 data collection
キーワード
言語 en
主題Scheme Other
主題 emotion labeling
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
ID登録
ID登録 10.15084/00001910
ID登録タイプ JaLC
著者 Arimoto, Yoshiko

× Arimoto, Yoshiko

WEKO 6930

en Arimoto, Yoshiko

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著者所属(英)
内容記述タイプ Other
内容記述 Teikyo University
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述タイプ Other
内容記述 LREC 2018 Special Speech Sessions "Speech Resources Collection in Real-World Situations"; Phoenix Seagaia Conference Center, Miyazaki; 2018-05-09
抄録(英)
内容記述タイプ Other
内容記述 This paper introduces the challenges involved in studying authentic emotional speech collected from spontaneous Japanese dialog. First, three key issues related to emotional speech corpora are presented: data type (acted or spontaneous), efficient collection of emotional speech, and appropriate emotion labeling. To address these issues, a data collection scheme was developed, and a labeling experiment was performed. First, a data collection scheme using an online game task was applied to efficiently collect speakers’ authentic emotional expressions during their real-life conversations. Then, to elucidate appropriate emotion labels for emotional speech and to commonize the emotion labels among several corpora, the relationship between emotion categories and emotion dimensions, which are two major approaches to psychological emotional modeling, was demonstrated by conducting a cross-corpus emotion labeling experiment with two different Japanese dialogue corpora (the Online Gaming Voice Chat Corpus with Emotional Label (OGVC) and the Utsunomiya University Spoken Dialogue Database for Paralinguistic Information Studies (UUDB)). Finally, the results are presented, and the advantages and disadvantages of these approaches are discussed.
書誌情報 en : Proceedings of the LREC 2018 Special Speech Sessions

p. 6-13, 発行日 2018-05-09
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Center for Corpus Development, National Institute for Japanese Language and Linguistics
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