Donggeon Kong
Papers
3
Total Citations
28
H-Index
3
About
Donggeon Kong is a pioneering researcher in human-robot interaction, with a primary focus on speech acquisition, enhancement, and recognition for service and home-agent robots. His work centers on developing robust, real-time audio processing systems that enable robots to understand and locate human users in noisy, dynamic home environments. Kong’s major contributions include the design and implementation of circular and linear microphone arrays, coupled with novel adaptive beamforming techniques that significantly improve speech quality from distant talkers. His landmark 2004 paper on speech enhancement using a circular microphone array (16 citations) introduced a delay-and-sum beamformer with adaptive blocking filters, a foundational approach for robot audition. Kong also advanced multimodal interaction by integrating microphone arrays with vision cameras for real-time audio-visual user localization. His 2003 work on a high-quality speech acquisition system for home-agent robots (6 citations) demonstrated a practical, PC-based solution for distant speech recognition. Despite modest citation counts, Kong’s research is notable for its applied impact, directly enabling more natural and effective human-robot communication in domestic settings, laying essential groundwork for the development of socially assistive robots.
Research Focus
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Top Papers
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