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Wataru Nakata
Wataru Nakata
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Utmos: Utokyo-sarulab system for voicemos challenge 2022
T Saeki, D Xin, W Nakata, T Koriyama, S Takamichi, H Saruwatari
arXiv preprint arXiv:2204.02152, 2022
522022
Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings
W Nakata, T Koriyama, S Takamichi, N Tanji, Y Ijima, R Masumura, ...
Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 211-215, 2021
142021
Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis
W Nakata, T Koriyama, S Takamichi, Y Saito, Y Ijima, R Masumura, ...
Proc. Interspeech 2022, 4551-4555, 2022
62022
J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis
S Takamichi, W Nakata, N Tanji, H Saruwatari
arXiv preprint arXiv:2201.10896, 2022
52022
Coco-Nut: Corpus of Japanese Utterance and Voice Characteristics Description for Prompt-based Control
A Watanabe, S Takamichi, Y Saito, W Nakata, D Xin, H Saruwatari
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
32023
J-KAC: 日本語オーディオブック・紙芝居朗読音声コーパス
高道慎之介, 中田亘, 郡山知樹, 丹治尚子, 井島勇祐, 増村亮, 猿渡洋
研究報告音楽情報科学 (MUS) 2021 (14), 1-4, 2021
12021
Building speech corpus with diverse voice characteristics for its prompt-based representation
A Watanabe, S Takamichi, Y Saito, W Nakata, D Xin, H Saruwatari
arXiv preprint arXiv:2403.13353, 2024
2024
UTDUSS: UTokyo-SaruLab System for Interspeech2024 Speech Processing Using Discrete Speech Unit Challenge
W Nakata, K Yamauchi, D Yang, H Hyodo, Y Saito
arXiv preprint arXiv:2403.13720, 2024
2024
Analysis of urgency of evacuation announcement speech and its application to text-to-speech
S HARADA, W NAKATA, S TAKAMICHI, Y SAITO, Y SAITO, ...
日本音響学会研究発表会講演論文集 (CD-ROM) 2022, 2-41, 2022
2022
Audiobook Speech Synthesis based on Character embedding for Distinguishable Character Acting
W NAKATA, T KOORIYAMA, S TAKAMICHI, Y SAITO, Y IJIMA, ...
日本音響学会研究発表会講演論文集 (CD-ROM) 2022, 3-3, 2022
2022
VQVAE によって獲得されたキャラクター演技スタイルに基づく多話者オーディオブック音声合成
中田亘, 郡山知樹, 高道慎之介, 齋藤佑樹, 井島勇祐, 増村亮, 猿渡洋
電子情報通信学会技術研究報告; 信学技報 121 (282), 42-47, 2021
2021
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