Hyung‐Min Park
Papers
2
Total Citations
3
H-Index
1
About
Hyung-Min Park is a leading researcher in acoustic signal processing, with a primary focus on sound source localization and blind source separation for real-world applications. His work addresses the critical challenge of enabling smart devices to accurately perceive their auditory environment, even in the presence of strong interference. A key contribution is the development of a real-time sound source localization system specifically designed for robotic vacuum cleaners, which must overcome the significant ego-noise generated during operation. This system, detailed in his 2024 paper, leverages a microphone array to enhance the functionality of speech interfaces in home appliances. Additionally, Park has advanced the field of multiple sound source localization through his work on the SVD-PHAT-ATV method, which improves upon blind source separation algorithms like the convolutional beamformer. While his most-cited papers are recent, their practical focus on integrating AI with consumer robotics highlights the growing importance of robust acoustic sensing. His research is pivotal for creating more intuitive and responsive smart home technologies, directly impacting how devices like robotic cleaners interact with and locate users in noisy, dynamic environments.
Research Focus
Key Achievements
Top Papers
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