Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis-Reference-Cited by-同舟云学术

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Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis

Published:2022-09-18 Issue: Volume: Page:
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Container-title:Interspeech 2022
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Author:

Nakata Wataru,Koriyama Tomoki,Takamichi Shinnosuke,Saito Yuki,Ijima Yusuke,Masumura Ryo,Saruwatari Hiroshi

Publisher

ISCA

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dialog Modeling in Audiobook Synthesis;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources;EURASIP Journal on Audio, Speech, and Music Processing;2024-02-12

3. Emotion-controllable Speech Synthesis Using Emotion Soft Label, Utterance-level Prosodic Factors, and Word-level Prominence;APSIPA Transactions on Signal and Information Processing;2024

4. Improving Speech Prosody of Audiobook Text-To-Speech Synthesis with Acoustic and Textual Contexts;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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