Hoyeon Lee
Research Scientist & Tech Lead · NAVER Cloud
NAVER Green Factory, 6, Buljeong-ro,
Seongnam, 13561, Republic of Korea
I am a Senior AI Research Scientist and Tech Lead in the Voice team at NAVER Cloud. I build speech and language technologies for real-world AI products, with publications at top-tier AI/ML conferences, including EMNLP and INTERSPEECH.
My work focuses on Multimodal AI and LLM Applications for speech and language systems, spanning robust understanding, evaluation, and real-world deployment. I connect research and engineering through technical leadership at NAVER and have mentored several AI projects at AI·SW Maestro since April 2026.
My current research interests broadly fall into two areas:
- Multimodal AI: How can AI understand and interact across speech, language, and context?
- LLM Applications: How can LLMs improve data generation, evaluation, tool use, and real-world AI systems?
If you are interested in collaboration or would like to get in touch, please feel free to contact me.
news
| Sep 2026 | Our paper “Phonemizing User-Generated Text: A Benchmark, Taxonomy, and Compositional Approach” was accepted to EMNLP 2026. |
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| Sep 2026 | Excited to share that our work “LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations” will appear at INTERSPEECH 2026. Looking forward to presenting it in Sydney, Australia 🇦🇺! |
| Apr 2026 | I joined AI·SW Maestro as a Technical Mentor. Starting this year, I mentor two teams building production-grade AI systems across language modeling, speech AI, and multimodal intelligence. |
| Aug 2025 | Our paper “Synthetic Data Generation for Phrase Break Prediction with Large Language Model” was accepted to INTERSPEECH 2025 in Rotterdam 🇳🇱. |
| Nov 2024 | We presented our work “A Two-Step Approach for Data-Efficient French Pronunciation Learning” at EMNLP 2024 in Miami 🇺🇸. |