Multi-Speaker Identification with IoT Badges for Collaborative Learning Analysis

• Item type: Trans(1)
• 公開日: 2023-04-15
• タイトル: Multi-Speaker Identification with IoT Badges for Collaborative Learning Analysis
• タイトル / 言語: en
• タイトル: Multi-Speaker Identification with IoT Badges for Collaborative Learning Analysis
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集号投稿論文] collaborative learning, Internet of Things (IoT), sensor networks, speaker identification, time synchronization
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Integrated Science and Technology, Shizuoka University
• 著者所属: Graduate School of Integrated Science and Technology, Shizuoka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Integrated Science and Technology, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Integrated Science and Technology, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Shunpei, Yamaguchi; Motoki, Nagano; Ritsuko, Oshima; Jun, Oshima; Takuya, Fujihashi; Shunsuke, Saruwatari; Takashi, Watanabe
• 著者名(英): Shunpei, Yamaguchi; Motoki, Nagano; Ritsuko, Oshima; Jun, Oshima; Takuya, Fujihashi; Shunsuke, Saruwatari; Takashi, Watanabe
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Collaborative learning fosters the ability to creatively solve problems in collaboration with other learners. Researchers in learning science have transcribed learners' speech to qualitatively analyze collaborative learning to reveal various patterns that increase learning performance. Although prior studies have identified speakers to support the process of transcription, those studies were limited in simultaneously identifying multiple speakers. We propose a novel speaker-identification algorithm that can simultaneously recognize multiple speakers using business-card-type sensors. The algorithm can remove ambient noise with low-cost sensors and still identify multiple simultaneous speakers. The experimental evaluations show that the algorithm accurately identifies simultaneous multiple speakers in a multi-person activity under conditions with varying numbers of users, environmental noise, and users' short utterances.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.31(2023) (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Collaborative learning fosters the ability to creatively solve problems in collaboration with other learners. Researchers in learning science have transcribed learners' speech to qualitatively analyze collaborative learning to reveal various patterns that increase learning performance. Although prior studies have identified speakers to support the process of transcription, those studies were limited in simultaneously identifying multiple speakers. We propose a novel speaker-identification algorithm that can simultaneously recognize multiple speakers using business-card-type sensors. The algorithm can remove ambient noise with low-cost sensors and still identify multiple simultaneous speakers. The experimental evaluations show that the algorithm accurately identifies simultaneous multiple speakers in a multi-person activity under conditions with varying numbers of users, environmental noise, and users' short utterances.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.31(2023) (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12894091
• 書誌情報: 情報処理学会論文誌デジタルプラクティス（TDP）; 巻 4, 号 2, 発行日 2023-04-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2435-6484
• 出版者 / 言語: ja
• 出版者: 情報処理学会