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 NAVERβs services. Furthermore, these findings have been shared at top-tier ML conferences, including EMNLP, INTERSPEECH, and other leading venues.
news
| Aug 2025 | Our paper βSynthetic Data Generation for Phrase Break Prediction with Large Language Modelβ was accepted to INTERSPEECH 2025 in Rotterdam π³π±. |
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| Nov 2024 | We presented our work βA Two-Step Approach for Data-Efficient French Pronunciation Learningβ at EMNLP 2024 in Miami πΊπΈ. |
| Aug 2023 |
I give a talk on the accepted paper at INTERSPEECH2023 with slides released here! |
| Jun 2023 |
I give a talk on the accepted paper βLightweight Grapheme-to-Phoneme Conversion Based on Knowledge Distilled BERTβ at Summer Annual Conference of IEIE to be held at Jeju. |
| May 2023 |
Our paper βCross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Modelβ got accepted for INTERSPEECH2023 to be held at Dublin !! |