Item type |
SIG Technical Reports(1) |
公開日 |
2024-06-07 |
タイトル |
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タイトル |
Cross-lingual Singing Voice Conversion Leveraging Transformer-based ASR Encoder |
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言語 |
en |
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タイトル |
Cross-lingual Singing Voice Conversion Leveraging Transformer-based ASR Encoder |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
ポスターセッション2 |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Graduate School of Engineering, The University of Tokyo |
著者所属 |
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Graduate School of Engineering, The University of Tokyo |
著者所属 |
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Graduate School of Engineering, The University of Tokyo |
著者所属(英) |
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en |
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Graduate School of Engineering, The University of Tokyo |
著者所属(英) |
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en |
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Graduate School of Engineering, The University of Tokyo |
著者所属(英) |
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en |
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Graduate School of Engineering, The University of Tokyo |
著者名 |
Xinyuan, Zhao
Daisuke, Saito
Nobuaki, Minematsu
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著者名(英) |
Xinyuan, Zhao
Daisuke, Saito
Nobuaki, Minematsu
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
In this paper, we focus on singing voice conversion task, including monolingual and cross-lingual singing voice conversion. We proposed a method to modify MaskCycleGAN, a model designed for nonparallel speech conversion task, and applied the proposed model for the singing voice conversion task. The new model concatenates MaskCycleGAN with Whisper, a transformer-based ASR encoder that recognizes the content of the song. The experimental results demonstrated significant performance improvements over the original MaskCycleGAN in both monolingual and cross-lingual scenarios for the singing voice conversion task. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AN10442647 |
書誌情報 |
研究報告音声言語情報処理(SLP)
巻 2024-SLP-152,
号 47,
p. 1-4,
発行日 2024-06-07
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8663 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |