Seiichi Yamamoto — accepted AI-conference papers

2025

Reconfigurable Soft Pneumatic Actuators Using Multi-Material Self-Healing Polymers

Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon +2

RA-L 2025

Self-healing polymers, which can autonomously repair damage or be repaired through simple treatments, have garnered attention due to their flexibility in addressing damage and enabling long-term use in soft robotics. Many studies on the application of self-healing polymers to soft robotics have focu

Cited by 3 Source ↗Scholar ↗

2019

Investigating Context Features Hidden in End-to-end TTS

Kohki Mametani, Tsuneo Kato, Seiichi Yamamoto

ICASSP 2019accepted

Recent studies have introduced end-to-end TTS, which integrates the production of context and acoustic features in statistical parametric speech synthesis. As a result, a single neural network replaced laborious feature engineering with automated feature learning. However, little is known about what…

Cited by 0 Source ↗Scholar ↗

2019

Referential Vowel Duration Ratio as a Feature for Automatic Assessment of L2 Word Prosody

Tsuneo Kato, Quy-Thao Truong, Kohei Kitamura, Seiichi Yamamoto

ICASSP 2019accepted

This paper proposes a referential vowel duration ratio for a pair of vowels in consecutive syllables and a weighted mean of the referential vowel duration ratios on a logarithmic scale as a feature for automatic assessment of second-language (L2) word prosody. In addition to contours of fundamental…

Cited by 0 Source ↗Scholar ↗