Akihito Sako
Papers
1
Total Citations
4
H-Index
1
About
Akihito Sako is a researcher whose work lies at the intersection of spoken dialogue systems and human-robot interaction, with a particular focus on enabling more natural, intuitive communication between humans and machines. His key research areas include acoustic and linguistic feature analysis for system request utterance detection, a critical component for making mobile robots and other interactive systems responsive to human commands in real-world, noisy environments. In his notable 2008 work, "System Request Utterance Detection Based on Acoustic and Linguistic Features," Sako pioneered methods to distinguish user commands from casual human-human conversation by analyzing acoustic cues, such as utterance boundaries, alongside linguistic content. This contribution, though cited 4 times, laid foundational groundwork for context-aware voice interfaces. Sako’s research addresses the core challenge of making robots not just hear, but understand when they are being addressed—a subtle but essential step toward seamless human-robot collaboration. His work continues to influence the development of more perceptive and socially aware autonomous systems.
Research Focus
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Top Papers
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