CV

M.S.

Yonsei University

Electrical and Electronic Engineering

• Advisor: Prof. Hong-Goo Kang
• Thesis: A Multi-Rate Audio Super-Resolution Framework Using Flow Matching Without Neural Vocoders

B.S.

Yonsei University

Electrical and Electronic Engineering

• GPA: 3.83 / 4.3
• Undergraduate Thesis: A Technical Overview of Deep Learning Based Single-Image Super-Resolution Methods
• Two-year gap due to mandatory military service (Apr. 2020 – Oct. 2021)

Teaching Assistant

Yonsei University, DSPAI Lab

Served as a Teaching Assistant for various undergraduate courses in the Department of Electrical and Electronic Engineering.

• EEE2111: Analog Electronics Lab (Spring 2025)
• EEE2060: Signals and Systems (Fall 2024)
• EEE4610: Electrical and Electronic Engineering Capstone Design (Fall 2024)
• EEE4420: Digital Signal Processing (Spring 2024)

Graduate Researcher

DSPAI Lab, Yonsei University

Conducting research on neural audio codecs, audio super-resolution, and generative models. Also served as a researcher for the ETRI-Yonsei Joint Research Project (Mar. 2024 – Dec. 2025).

• Developed DNN-based post-processing modules for legacy audio codecs.
• Project leader (final 6 months): managed presentations and inter-institutional communications.
• Resulted in 1 international conference paper, 1 domestic paper, and 1 patent application.

Undergraduate Research Intern

Yonsei University, SRIP Lab

Implemented and analyzed image processing algorithms including white balancing, denoising, color interpolation (demosaicing), and super-resolution under the supervision of Prof. Moon Gi Kang.

UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching

ICASSP 2026

Authors: Woongjib Choi, Sangmin Lee, Hyungseob Lim, and Hong-Goo Kang

SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation

Preprint

Authors: Sangmin Lee, Woongjib Choi, Jihyun Kim, and Hong-Goo Kang

Neural Spectral Band Generation for Audio Coding

INTERSPEECH 2025

Authors: Woongjib Choi, Byeong Hyeon Kim, Hyungseob Lim, Inseon Jang, and Hong-Goo Kang

DNN-based Speech Codec Enhancement Utilizing Conditional Flow Matching

KIBME Conference 2025

Authors: Jaehoon Shin, Woongjib Choi, Byeong Hyeon Kim, Inseon Jang, and Hong-Goo Kang

Non-Blind Speech Bandwidth Extension Using Pre-Trained Self-Supervised Features

IEIE Conference 2024

Authors: Woongjib Choi, Byeong Hyeon Kim, and Hong-Goo Kang

Context-Aware Time-Scale Modification (TSM) with LLM Guidance

Developed a TSM system that combines the traditional SOLA algorithm with an LLM to selectively control speech speed in important frames for the 'Speech Signal Processing' course.

LAUD: Large Language Model as a Universal ASR Decoder

Developed a multilingual ASR framework that utilizes a speech foundation model with the Roman alphabet as a universal intermediate representation for the 'Speech Interface' course.

A Technical Overview of Deep Learning Based Single-Image Super-Resolution Methods

Investigated and compared three major categories on single-image super-resolution: external learning-based (e.g., SRGAN), internal learning-based (e.g., ZSSR), and Transformer-based approaches (e.g., SwinIR).

• Undergraduate Capstone Project

Dean's List

Yonsei University

Awarded for high academic achievement, ranking within the top 3% of the college in Spring 2023.

Academic Excellence Scholarship

Yonsei University

Recipient for both the Spring 2023 and Fall 2023 semesters based on academic excellence.

Editor-in-Chief

Humans of Yonsei (Student Storytelling and Interview Organization)

Sergeant, Repair Parts and Tool Supply Specialist

Republic of Korea Army

Completed mandatory military service.

Freshman Class Representative

Department of Electrical and Electronic Engineering, Yonsei University