Youngmoon Jung
Papers
1
Total Citations
6
H-Index
1
About
Youngmoon Jung is a leading researcher in the field of speech recognition and human-robot interaction, with a primary focus on distant multi-channel speech processing and robust automatic speech recognition (ASR) for conversational robots. His most cited work, "Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots" (2017, 6 citations), establishes a foundational resource for advancing ASR in noisy, real-world environments. In this study, Jung designed and implemented a rigorous methodology for collecting Korean distant multi-channel speech and noise databases, specifically tailored for indoor conversational robot applications. This contribution is critical for enabling robots to accurately recognize speech from a distance, overcoming challenges like reverberation and background noise. By providing a standardized dataset, Jung’s work has directly supported the development of more reliable and context-aware speech interfaces, impacting both academic research and practical robotics. His efforts underscore a commitment to bridging the gap between laboratory conditions and real-world deployment, making him a key figure in the evolution of intelligent, voice-controlled systems.
Research Focus
Key Achievements
Top Papers
- 1