@techreport{oai:ipsj.ixsq.nii.ac.jp:00234746,
 author = {山下, 泰樹 and 寺内, 大晴 and 村山, 諄 and 召田, 優子 and 谷, 友博 and 小畑, 朱実 and 山口, 道子 and 池田, 京子 and 永井, 孝 and 香山, 瑞恵 and Yasuki, Yamashita and Taisei, Terauchi and Jun, Murayama and Yuko, Mesuda and Tomohiro, Tani and Akemi, Obata and Michiko, Yamaguchi and Kyoko, Ikeda and Takashi, Nagai and Mizue, Kayama},
 issue = {59},
 month = {Jun},
 note = {声楽の歌唱指導においては，呼吸や姿勢，口の開け方等々，歌声の音響分析で得られる情報以外の事項にも着目してレッスンが行われる．今回，呼吸データに着目して音響特徴量との関係を調べるにあたり，歌声，呼吸データ，動画の収録を行った．収録後，これら異なるメディアデータの同期をとる道具として ELAN を利用することで複数の手がかりを並列して見比べながら作業が行えた．本報告では同期をとる際の課題を示し，ELAN を用いる利点について述べる．また，同期をとる以外の ELAN の利用法として，学習者および指導者のメタ記述の道具になり得ると考えられる．, In singing voice training, lessons are conducted focusing on not only information obtained by acoustic analysis of singing voices, but also the control of body such as breathing, posture, and shape of the mouth. In this study, we focused on respiratory data and investigated the relationship between acoustic features and recorded singing voices, breathing data, and videos. After recording, ELAN was used as a tool to synchronize these different media data, and it was possible to compare multiple clues in parallel. In this report, we present the challenges of synchronization and describe the advantages of using ELAN, and it is considered that it can be used as a tool for meta-description of learners and instructors as a way to use ELAN other than synchronization.},
 title = {歌唱指導支援を目的とした歌声分析におけるELANの利用と検討},
 year = {2024}
}