Ryosuke Sawata
Profile
Ryosuke is a research scientist at Sony AI and a Ph.D. candidate at the Graduate School of Information Science and Technology, Hokkaido University. His research interests include biosignal processing, music information retrieval, acoustic signal processing, and 3D computer vision. Prior to joining Sony Research, Ryosuke worked at the Stanford Vision and Learning Lab (SVL) at Stanford University. He received his Bachelor of Science and Master of Science in Electronics and Information Engineering from Hokkaido University, Japan in 2014 and 2016, respectively.
Publications
Diffusion-based Signal Refiner for Speech Enhancement and Separation
IEEE, 2026 | Ryosuke Sawata, Masato Hirano*, Naoki Murata, Shusuke Takahashi*, Yuki Mitsufuji
Although recent speech processing technologies have achieved significant improvements in objective metrics, there still remains a gap in human perceptual quality. This paper proposes Diffiner, a novel solution that utilizes the powerful generative capability of diffusion mod...
The whole is greater than the sum of its parts: improving music source separation by bridging networks
EURASIP, 2024 | Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich*, Shusuke Takahashi*, Yuki Mitsufuji
This paper presents the crossing scheme (X-scheme) for improving the performance of deep neural network (DNN)-based music source separation (MSS) with almost no increasing calculation cost. It consists of three components: (i) multi-domain loss (MDL), (ii) bridging operation...