Papers
3
Total Citations
34
H-Index
3
About
Hoirin Kim is a leading researcher in speech processing for human-robot interaction, with a focus on robust speaker identification and distant speech recognition in challenging acoustic environments. Her major contributions include pioneering the use of multiple microphone arrays and soft channel selection techniques to improve text-independent speaker identification in home and ubiquitous robot companion settings. Her 2008 paper on "Text-Independent Speaker Identification using Soft Channel Selection in Home Robot Environments" (20 citations) introduced a novel method for dynamically weighting microphone channels to enhance reliability in distant-talking conditions. Kim also advanced the field by developing the Korean distant multi-channel speech and noise databases (2017, 6 citations), providing essential resources for training and evaluating speech recognition systems for indoor conversational robots. Her work has been instrumental in enabling robots to accurately identify speakers from a distance, a critical capability for natural human-robot interaction. With a career dedicated to bridging the gap between laboratory speech systems and real-world robotic applications, Kim's research continues to influence the design of robust, multi-microphone speech interfaces for autonomous agents.
Research Focus
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