Chief Research Scientist at SB Intuitions
yui.sudo_at_sbintuitions.co.jp
Curriculum Vitae (updated Mar. 2026)
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Yui Sudo is a Chief Research Scientist at SB Intuitions Corp, working on Speech-to-Speech systems, such as automatic speech recognition, speech synthesis, speech language models. He has published over 50 papers and received prestigious awards, including the IEEE SLT Best Paper Award, IEEE ASRU Best Reviewer Award, JSAI Incentive Award, and JSPE Young Researcher Award.
🎓️Education
Mar. 2021: Ph.D. degree in Engineering, Tokyo Institute of Technology, Japan.
Mar. 2011: M.S. degree in Engineering, Keio University, Japan.
Mar. 2009: B.S. degree in Engineering, Keio University, Japan.
💼Work experience
Feb. 2025 - Present: SB Intuitions Corp.
Apr. 2026 – Present: Manager, Speech & Language Team, Product Development Division
Apr. 2026 – Present: Manager, Speech AI Team (newly established office)
Oct. 2025 – Mar. 2026: Director, Speech AI Department, R&D Division
Apr. 2025 – Sep. 2025: Manager, Speech & Language Team, R&D Division
Feb. 2025 – Mar. 2025: Senior Research Scientist, Speech & Language Team, R&D Division
Apr. 2011 - Jan. 2025: Honda
Dec. 2020 - Jan. 2025: Senior Engineer, Honda Research Institute Japan Co., Ltd.
Feb. 2019 - Nov. 2020: Staff Engineer, Honda R&D Co., Ltd.
Apr. 2012 - Jan. 2019: Staff Engineer, Honda Engineering Co., Ltd.
(Apr. 2016 - Sep. 2016: Honda Engineering North America Inc.)
Apr. 2011 - Mar. 2012: Staff Engineer, Honda Motor Co., Ltd.
2025: Co-authored paper received ISCA INTERSPEECH Best Student Paper Award
2024: IEEE SLT Best Paper Award (first author)
2024: JSAI Incentive Award (co-author)
2012: JSPE Young Researcher Award (first author)
📝Research Topics
📝Research Topics
Automatic Speech Recognition
Selected Papers:
Y. Sudo et al., “Contextualized Automatic Speech Recognition with Dynamic Vocabulary”, in Proc. SLT, 2024. (🏆IEEE SLT Best Paper Award🏆)
Y. Sudo et al., "DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition", in Proc. INTERSPEECH, 2025.
Y. Sudo et al., "OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary", in Proc. INTERSPEECH, 2025.
Invited talk：
"Contextualized End-to-End Automatic Speech Recognition Based on Deep Biasing," Applied Acoustics and Engineering Acoustics Joint Workshop, ASJ & IEICE, 2024 (in Japanese)
Speech Language Models
Selected Papers:
J. Yang, Y. Fujita, Y. Sudo, "DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization", arXiv preprint arXiv:2603.09180, 2026. [demo]
Y. Fujita, T. Mizumoto, A. Kojima, L. Liu, and Y. Sudo, "AC/DC: LLM-based Audio Comprehension via Dialogue Continuation", in Proc. INTERSPEECH, 2025.
T. Mizumoto, Y. Fujita, H. Shi, L. Liu, A. Kojima, and Y. Sudo, “Evaluating Japanese Dialect Robustness across Speech and Text-based Large Language Models”, in Proc. ASRU, 2025.
H. Shi, Y. Fujita, T. Mizumoto, L. Liu, A. Kojima, and Y. Sudo, “Serialized Output Prompting for Large Language Model-based Multi-Talker Speech Recognition”, in Proc. ASRU, 2025.
Robot Audition
Selected Papers:
Y. Sudo et al., “Online Adaptation of Fourier Series-Based Acoustic Transfer Function Model and Its Application to Sound Source Localization and Separation”, Advanced Robotics, 2024.
Y. Sudo et al., "Multichannel Environmental Sound Segmentation with Separately Trained Spectral and Spatial Features", Applied Intelligence, 2021.
Invited Talk:
"Deep-Learning-based Environmental Sound Segmentation - Integration of Sound Source Localization, Separation, and Classification -, " Tokyo BISH Bash #05, online, 2021 (in Japanese).
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