collaborators

5 papers

cs.CL2025

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

Sieun Hyeon, Kyudan Jung, Jaehee Won +4

In various academic and professional settings, such as mathematics lectures or research presentations, it is often necessary to convey mathematical expressions orally. However, rea…

cs.AI2025

MathReader : Text-to-Speech for Mathematical Documents

Sieun Hyeon, Kyudan Jung, Nam-Joon Kim +2

TTS (Text-to-Speech) document reader from Microsoft, Adobe, Apple, and OpenAI have been serviced worldwide. They provide relatively good TTS results for general plain text, but som…

math.NA2024

Enhancing ASR Performance through OCR Word Frequency Analysis: Theoretical Foundations

Kyudan Jung, Nam-Joon Kim, Hyun Gon Ryu +1

As the interest in large language models grows, the importance of accuracy in automatic speech recognition has become more pronounced. This is especially true for lectures that inc…

cs.CL2024

TeXBLEU: Automatic Metric for Evaluate LaTeX Format

Kyudan Jung, Nam-Joon Kim, Hyongon Ryu +3

LaTeX is suitable for creating specially formatted documents in science, technology, mathematics, and computer science. Although the use of mathematical expressions in LaTeX format…

cs.LG2024

MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into Formulas for Improved Readability

Kyudan Jung, Sieun Hyeon, Jeong Youn Kwon +4

Improving the readability of mathematical expressions in text-based document such as subtitle of mathematical video, is an significant task. To achieve this, mathematical expressio…