About me
I am an undergraduate researcher at AINC Lab, Hanshin University, advised by Prof. Seon Man Kim.
My research focuses on Korean speech recognition and audio-language understanding. I evaluate models across diverse Korean speech datasets and examine how inference settings affect accuracy. My recent work explores audio retrieval to locate segments that match natural-language descriptions.
I am pursuing a bachelor’s degree in the School of AI & Software, with a double major in AI-Integrated Disability Life Care. I expect to graduate in the first half of 2027.
You can find more about my work on the Research and Publications pages, or see my CV.
Research interests
Korean speech recognition
Audio-language understanding and retrieval
Reliable evaluation of language models
Current work
Evaluating Qwen3-ASR for Korean Speech Recognition. Evaluated how model size and inference settings affect recognition accuracy across Korean speech datasets.
DCASE 2026 Task 6 · Audio Moment Retrieval. Studying how to locate audio segments that match natural-language queries.
Academic-Regulation QA Data & Error-Correction Training. Built and evaluated training data for question answering grounded in university academic regulations.