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Generation of target speech with speaker individuality based on accent conversion for English pronunciation learning
http://hdl.handle.net/10228/0002001583
http://hdl.handle.net/10228/000200158313cd1f53-fe72-4482-a723-ee886f3a05ed
| 名前 / ファイル | ライセンス | アクション |
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10450313.pdf (138.3 KB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||
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| 公開日 | 2025-04-14 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Generation of target speech with speaker individuality based on accent conversion for English pronunciation learning | |||||||||||
| 言語 | en | |||||||||||
| その他のタイトル | ||||||||||||
| その他のタイトル | Generation of Target Speech with Speaker Individuality Based on Accent Conversion for English Pronunciation Learning | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
Hamakawa, Rei
× Hamakawa, Rei
× 新見, 道治
WEKO
944
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| 著作権関連情報 | ||||||||||||
| 権利情報 | Copyright (c) 2024 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. | |||||||||||
| 言語 | en | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | This paper first provides an overview of the English pronunciation learning support tool. The tool aims to use accent-modified speech that retains the learner’s voice quality" as the "target speech." We propose a new conversion model based on conventional methods for this accent conversion. Specifically, we improve the conventional LSTM-based DNN model for accent conversion by adopting a transformer-based model. Our experiments investigated the model’s ability to handle the unique katakana pronunciation characteristic of Japanese speakers. The results confirmed the effectiveness of the proposed conversion method, although challenges remain, such as the scarcity of Japanese speech data and the need to improve the accuracy of speaker identity retention." | |||||||||||
| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 03-06 December 2024, Macau, Macao | |||||||||||
| 言語 | en | |||||||||||
| 書誌情報 |
en : 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 発行日 2025-01-27 |
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| 出版社 | ||||||||||||
| 出版者 | IEEE | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 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 | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| DOI | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.1109/APSIPAASC63619.2025.10848685 | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 979-8-3503-6733-1 | |||||||||||
| ISSN | ||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||
| 収録物識別子 | 2640-0103 | |||||||||||
| 会議記述 | ||||||||||||
| 会議名 | 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) | |||||||||||
| 言語 | en | |||||||||||
| 開始年 | 2024 | |||||||||||
| 開始月 | 12 | |||||||||||
| 開始日 | 03 | |||||||||||
| 終了年 | 2024 | |||||||||||
| 終了月 | 12 | |||||||||||
| 終了日 | 06 | |||||||||||
| 開催国 | CHN | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/236_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10450313 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 14294 | |||||||||||
