Dae-Lim Choi

Papers

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About

Dae-Lim Choi is a leading researcher in speech recognition technology, with a primary focus on distant multi-channel speech processing for human-robot interaction. His most-cited work, "Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots" (2017), established a critical foundation for advancing speech recognition systems in noisy, real-world environments. This paper, with 6 citations, presents a rigorous methodology for collecting Korean distant multi-channel speech and noise databases, specifically designed to improve the accuracy of speech recognition for indoor conversational robots. By addressing the challenges of far-field audio capture and background noise, Choi’s contributions have enabled more robust and reliable voice interfaces, directly impacting the development of intelligent robotic systems. His work is particularly notable for its emphasis on practical, application-driven data collection, bridging the gap between laboratory research and real-world deployment. Choi’s research continues to influence the fields of speech processing, human-robot interaction, and ambient intelligence, making him a key figure in the evolution of voice-enabled technologies.