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Hoyeon Lee

Research Scientist & Tech Lead Β· NAVER Cloud

NAVER Green Factory, 6, Buljeong-ro,
Seongnam, 13561, Republic of Korea


I am a Tech Lead and Research Engineer of the Voice team at NAVER Cloud AI.

I do research in Natural Language Processing (NLP), and NLP for Speech Synthesis. Lately, my focus has been on the learning models for multilingual language understanding, and text-preprocessing for following Text-to-Speech (TTS) services. I have developed multilingual large-scale language models (LLMs), including Indo-European Languages and Korean, and deployed them to AI products that are actively utilized in NAVER’s services. Furthermore, these findings have been shared at top-tier ML conferences, including EMNLP, INTERSPEECH, and other leading venues.


news

Aug 2025 Our paper β€œSynthetic Data Generation for Phrase Break Prediction with Large Language Model” was accepted to INTERSPEECH 2025 in Rotterdam πŸ‡³πŸ‡±.
Nov 2024 We presented our work β€œA Two-Step Approach for Data-Efficient French Pronunciation Learning” at EMNLP 2024 in Miami πŸ‡ΊπŸ‡Έ.
Aug 2023 I give a talk on the accepted paper at INTERSPEECH2023 with slides released here! :sparkles:
Jun 2023 I give a talk on the accepted paper β€œLightweight Grapheme-to-Phoneme Conversion Based on Knowledge Distilled BERT”
at Summer Annual Conference of IEIE to be held at Jeju. :sparkles:
May 2023 Our paper β€œCross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model” got accepted
for INTERSPEECH2023 to be held at Dublin !! :ireland: