Papers

3

Total Citations

27

H-Index

3

About

Tomoyuki Yamagata is a researcher at the forefront of human-robot interaction and speech interface technology. His work focuses on enabling natural, hands-free communication between humans and mobile robots, particularly in dynamic environments like living rooms or party spaces. Yamagata’s major contributions lie in developing methods for **system request utterance detection**—teaching robots to distinguish commands directed at them from ordinary human conversation. His most-cited paper (2008, 12 citations) introduced a novel interface using acoustic features to detect when a user is speaking to a robot, a critical step for non-expert users who cannot operate keyboards. He further refined this with multi-resolution Gabor wavelet features (2009, 11 citations) to spot commands within spontaneous speech, moving beyond simple voice activity detection. By integrating both acoustic and linguistic features (2008, 4 citations), Yamagata advanced the field’s ability to create truly conversational robots. His work is foundational for building intuitive, socially-aware machines that can serve people without requiring technical expertise.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Human-Robot Interface Using System Request Utterance Detection Based on Acoustic Features
12 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Institut National des Sciences Appliquées de Lyon, Kobe University

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago