Papers
2
Total Citations
5
H-Index
2
About
Won Il Kim is a researcher whose work bridges the fields of audio signal processing and multi-agent robotic systems. His most notable contribution is the creation of the **Children's Song Dataset (CSD)**, an open-source resource specifically designed for singing voice research. This dataset, featuring 200 audio recordings of 50 Korean and 50 English children's songs performed by a professional singer in two different keys, provides a unique, high-quality benchmark for developing and evaluating vocal separation and analysis algorithms. While still early in its impact, this dataset has already garnered 3 citations, signaling its growing importance for researchers studying non-adult vocal characteristics. In a separate line of inquiry, Kim has also tackled complex control theory problems, specifically investigating the **mean square consensus of mobile robots under Markovian communication** with partly unknown transition probabilities. His 2012 work in this area, cited 2 times, proposed a design method using linear matrix inequalities and numerical optimization to ensure stable, coordinated movement. This dual expertise—from the creative challenge of modeling children's singing to the mathematical rigor of robotic coordination—showcases a versatile researcher capable of making foundational contributions across disparate technical domains.
Research Focus
Key Achievements
Top Papers
- 1CSD: Children's Song Dataset for Singing Voice Research3 citations · 2021
- 2Consensus of Mobile Robots under Markovian Communication2 citations · 2012