Opera Singing Voice Synthesis Considering Vowel Variations

• Material Type: 文書・図像類
• Title: Opera Singing Voice Synthesis Considering Vowel Variations
• Author/Editor: Katahira, Kenta; Adachi, Yuji; Tai, Kiyoto; 髙島, 遼一; 滝口, 哲也
• Author Heading: Katahira, Kenta; Adachi, Yuji; Tai, Kiyoto; 髙島, 遼一 タカシマ, リョウイチ; 滝口, 哲也 タキグチ, テツヤ
• Publication, Distribution, etc.: IEEE
• Publication Date: 2020
• Publication Date (W3CDTF): 2020
• Periodical title: 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)
• ISBN (Periodical Title): 978-1-7281-9803-3; 978-1-7281-9802-6
• ISSN (Periodical Title): PISSN : 2378-8143
• Text Language Code: eng
• Subject Heading: opera singing voice synthesis; deep neural network; vowel variations
• Target Audience: 一般
• Date/Time and Place of an Event: 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE) ; 2020
• Format (IMT): application/pdf
• Source: 0100476379.pdf （fulltext）; https://da.lib.kobe-u.ac.jp/da/kernel/0100476379/0100476379.pdf
• Access Restrictions: インターネット公開
• Rights (production): © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 神戸大学 : 神戸大学学術成果リポジトリKernel

• Summary, etc.: In order to improve a synthesized opera singing voice that is obtained using deep neural networks (DNN), we focus on the vowel variations of the opera...