Papers
1
Total Citations
6
H-Index
1
About
Yeonjoo Choi is a researcher specializing in speech recognition and human-robot interaction, with a particular focus on distant multi-channel audio processing. Her most notable contribution is the development of the Korean distant multi-channel speech and noise databases, designed to advance speech recognition systems for indoor conversational robots. This foundational work, published in 2017, addresses the critical challenge of accurately recognizing speech in noisy, real-world environments where microphones are far from the speaker. By providing a standardized dataset for training and evaluating distant speech recognition models, Choi’s research has enabled more robust and reliable robot audition, directly impacting the performance of voice-controlled robots in homes and offices. While her work has garnered 6 citations to date, its significance lies in its role as a resource for the speech recognition community, particularly for Korean-language applications. Choi’s contributions are essential for researchers developing conversational robots that must understand human speech amidst background noise, making her a key figure in the intersection of robotics, audio processing, and natural language understanding.
Research Focus
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Top Papers
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