People

Ryuichi Yamamoto Researcher
A software engineer/researcher working on speech synthesis. His research interests include statistical speech synthesis, voice conversion, singing voice synthesis, and machine learning. Before joining LY Corporation (formerly LINE Corporation), he worked in music signal processing, music information retrieval, and computer vision.
Awards
Publications
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- CONFERENCE (DOMESTIC)
- NNSVS: ニューラルネットワークに基づく歌声合成のためのオープンソースソフトウェア
- 山本 龍一 (名古屋大学/LINE), 米山 怜於 (名古屋大学), 戸田 智基 (名古屋大学)
- 日本音響学会 2023年秋季研究発表会
- September 26, 2023
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- CONFERENCE (DOMESTIC)
- Foley Sound Synthesis with a Class-Conditioned Latent Diffusion Model and FAD-Based Post-filtering
- シャイブラー ロビン, 蓮実 拓也, 藤田 雄介, 小松 達也, 山本 龍一, 橘 健太郎
- 日本音響学会 2023年秋季研究発表会
- September 26, 2023
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- WORKSHOP (INTERNATIONAL)
- Foley Sound Synthesis with a Class-conditioned Latent Diffusion Model
- Robin Scheibler, Takuya Hasumi, Yusuke Fujita, Tatsuya Komatsu, Ryuichi Yamamoto, Kentaro Tachibana
- Detection and Classification of Acoustic Scenes and Events
- September 20, 2023
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- CONFERENCE (INTERNATIONAL)
- Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform
- Masaya Kawamura (The University of Tokyo), Yuma Shirahata, Ryuichi Yamamoto, Kentaro Tachibana
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
- June 04, 2023
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- CONFERENCE (INTERNATIONAL)
- NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit
- Ryuichi Yamamoto (LINE/Nagoya University), Reo Yoneyama (Nagoya University), Tomoki Toda (Nagoya University)
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
- June 04, 2023
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- CONFERENCE (INTERNATIONAL)
- Non-parallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs
- Reo Yoneyama (Nagoya University), Ryuichi Yamamoto, Kentaro Tachibana
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
- June 04, 2023
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- CONFERENCE (INTERNATIONAL)
- Period VITS: Variational Inference With Explicit Pitch Modeling For End-to-End Emotional Speech
- Yuma Shirahata, Ryuichi Yamamoto, Eunwoo Song (NAVER), Ryo Terashima, Jae-Min Kim (NAVER), Kentaro Tachibana
- 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
- June 04, 2023
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- CONFERENCE (INTERNATIONAL)
- A Unified Accent Estimation Method Based on Multi-Task Learning for Japanese Text-to-Speech
- Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana
- The 23rd Annual Conference of the International Speech Communication Association
- September 18, 2022
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- CONFERENCE (INTERNATIONAL)
- Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation
- Ryo Terashima, Ryuichi Yamamoto, Eunwoo Song (NAVER), Yuma Shirahata, Hyun-Wook Yoon (NAVER), Jae-Min Kim (NAVER), Kentaro Tachibana
- The 23rd Annual Conference of the International Speech Communication Association
- September 18, 2022
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- CONFERENCE (INTERNATIONAL)
- DRSpeech: Degradation-Robust Text-to-Speech Synthesis with Frame-Level and Utterance-Level Acoustic Representation Learning
- Takaaki Saeki (The University of Tokyo), Kentaro Tachibana, Ryuichi Yamamoto
- The 23rd Annual Conference of the International Speech Communication Association
- September 18, 2022