Papers
2
Total Citations
45
H-Index
2
About
Myungbae Son is a researcher advancing the field of acoustic signal processing, with a primary focus on sound source localization in complex, reverberant environments. His most impactful contribution is the development of a reflection-aware method for 3D sound localization in indoor spaces, detailed in his 2018 paper (42 citations). Unlike traditional techniques that rely on continuous signals from stationary sources, Son’s innovative formulation enables instantaneous position estimation from a single audio frame, effectively leveraging acoustic reflections to enhance accuracy. This work addresses a critical challenge in real-world applications, such as robotics, smart environments, and augmented reality, where rapid and robust localization is essential. His earlier 2017 paper (3 citations) laid the groundwork for this approach. By pioneering reflection-aware algorithms, Son has provided a practical solution for indoor localization that overcomes the limitations of line-of-sight methods, marking a notable achievement in the field. His research continues to influence the development of more adaptive and efficient auditory sensing systems.
Research Focus
Key Achievements
Top Papers
- 1Reflection-Aware Sound Source Localization42 citations · 2018
- 2Reflection-Aware Sound Source Localization3 citations · 2017