Rini Wongso
Papers
1
Total Citations
5
H-Index
1
About
Rini Wongso is a researcher in intelligent robotics and audio signal processing, focusing on enabling humanoid robots to interact more naturally in complex acoustic environments. Her most-cited work, "Implementation of Blind Speech Separation for Intelligent Humanoid Robot using DUET Method" (2017), tackles the challenging problem of separating multiple overlapping speech signals from real-world audio recordings—a critical capability for robots operating in crowded or noisy settings. By applying the Degenerate Unmixing Estimation Technique (DUET), Wongso’s research advances blind speech separation (BSS) from mono or stereo inputs, directly enhancing robotic perception and communication. This contribution has garnered 5 citations, reflecting its niche but foundational role in integrating BSS into humanoid platforms. Her work sits at the intersection of robotics and signal processing, with implications for assistive technologies, human-robot interaction, and autonomous systems. Wongso’s research underscores the growing importance of robust auditory processing in building truly intelligent machines, offering a stepping stone for future innovations in robot audition and real-world speech separation.
Research Focus
Key Achievements
Top Papers
- 1