Toru Daigo
Papers
1
Total Citations
19
H-Index
1
About
Toru Daigo is a researcher whose work lies at the intersection of acoustic signal processing and human-robot interaction. His most cited paper, "Real-time sound source orientation estimation using a 96 channel microphone array" (2009, 19 citations), introduces a novel method for recognizing sound source orientation—such as the direction a person is facing—through orientation-extended amplitude beamforming (OE-ABF). This capability is critical for enabling robots to engage in more natural, intuitive communication with humans, as it allows machines to infer attention and intent from auditory cues alone. Daigo’s contributions advance the field of robot audition, demonstrating how large-scale microphone arrays can be harnessed for real-time, spatial acoustic analysis. While his citation count reflects a focused but impactful body of work, his research addresses a fundamental challenge in social robotics: bridging the gap between raw audio data and socially meaningful information. By tackling sound source orientation estimation, Daigo has helped pave the way for more perceptive and responsive robotic systems, making his work a valuable reference for those exploring the integration of auditory perception into interactive technologies.
Research Focus
Key Achievements
Top Papers
- 1