Sang-Chae Kim
Papers
1
Total Citations
2
H-Index
1
About
Dr. Sang-Chae Kim is a researcher whose work sits at the intersection of human-robot interaction and speech synthesis, with a particular focus on making robotic communication more natural and engaging. His most cited work, "Speaker-TTS voice mapping towards natural and characteristic robot storytelling" (2013), addresses a critical challenge in social robotics: the high cost and inflexibility of pre-recorded human voices for storytelling applications. Kim proposed a novel voice mapping technique that enables text-to-speech systems to generate more natural, characterful vocal performances, directly applicable to domains like entertainment, education, and rehabilitation. While his citation count remains modest, his contribution is notable for tackling the practical bottleneck of automating expressive robot speech—a problem that grows more relevant as robots become integrated into daily life. By focusing on the nuanced interplay between speaker identity and synthetic voice, Kim’s work lays important groundwork for future systems that can adapt their vocal personality to context, making robot interactions feel less mechanical and more human. His research offers a valuable stepping stone for students and engineers aiming to bridge the gap between technical speech generation and authentic social presence.
Research Focus
Key Achievements
Top Papers
- 1