Kyungsuk Bae

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Kyungsuk Bae is a researcher whose work lies at the intersection of speech processing, human-robot interaction (HRI), and intelligent service robotics. Her primary contributions focus on enabling robots to understand and respond to human users through voice, with a particular emphasis on user classification and speaker recognition. Her most cited work, "Age and Gender Classification for a Home-Robot Service" (2007, 33 citations), introduces a method that leverages Mel frequency cepstral coefficients (MFCCs) and Gaussian mixture models (GMMs) to automatically determine a user’s age and gender from speech. This foundational research is critical for personalizing robot behavior in domestic environments. Bae also contributed to the development of speech-based HRI components for Ubiquitous Robot Companion (URC) systems, a key initiative in South Korea’s next-generation robotics industry. Her work on speaker identification and verification further supports secure, context-aware interactions between humans and service robots. Though her citation counts are modest, Bae’s research represents an early and important step toward socially intelligent robots that can adapt their services based on who is speaking, laying groundwork for more intuitive and accessible home robotics.