Soonbeom Choi

Korea Advanced Institute of Science and Technology

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About

Soonbeom Choi is a researcher at the forefront of singing voice analysis and music information retrieval, with a particular focus on children's vocal characteristics and cross-lingual song datasets. His most notable contribution is the creation of the Children's Song Dataset (CSD), an open-source resource that has garnered 3 citations since its 2021 release. This carefully curated collection features 50 Korean and 50 English songs performed by a professional female pop singer, with each song recorded in two different keys to produce 200 high-quality audio recordings. The dataset addresses a critical gap in singing voice research by providing standardized, professionally sung material specifically designed for studying children's vocal patterns and pedagogical applications. Choi's work demonstrates a commitment to building foundational resources that enable other researchers to explore vocal development, language-specific singing techniques, and automated assessment tools. By making this dataset openly available, he has laid important groundwork for advancing both educational technology and computational musicology in the context of young voices.