Mu Yeol Choi

Papers

Total Citations

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About

Mu Yeol Choi has made foundational contributions to automatic speech recognition (ASR) in robotics, with a particular focus on robust speech/music discrimination. His most-cited work, "Speech/Music Discrimination for Robust Speech Recognition in Robots" (2007), addresses a critical challenge in human-robot interaction: enabling service robots to distinguish speech from background music and other acoustic interferences in real-world environments. By developing algorithms that improve ASR performance through intelligent sound source classification, Choi’s research directly enhances the reliability of voice-controlled robotic systems. Though his citation count (5) reflects a specialized niche, his work is highly relevant to the growing field of interactive robotics, where accurate speech detection is essential for natural communication. Choi’s contributions underscore the importance of preprocessing audio signals to filter non-speech elements, a technique that remains vital for deploying ASR in noisy, dynamic settings. His research serves as a practical foundation for engineers and scientists developing more responsive, context-aware service robots.