CV

M.S.

Yonsei University

Electrical and Electronic Engineering

• Advisor: Prof. Hong-Goo Kang
• GPA: 4.08 / 4.30
• 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 / 4.30
• Undergraduate Thesis: A Technical Overview of Deep Learning-Based Single-Image Super-Resolution Methods
• Includes two-year mandatory military service (Apr. 2020 – Oct. 2021)

Postgraduate Researcher

DSPAI Lab, Yonsei University

Conducting research on neural audio codecs, tokenization, and generative models for audio under Prof. Hong-Goo Kang.

• In collaboration with Prof. Yongshik Lee on vehicle state classification from unintentional electromagnetic emissions, including STFT-based signal analysis and DNN-based classification.

Teaching Assistant

Yonsei University, Department of Electrical and Electronic Engineering

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: Capstone Design (Fall 2024) — Advised project on unified speech enhancement bridging personalized and unconditional models.
• EEE4420: Digital Signal Processing (Spring 2024)

Graduate Researcher

DSPAI Lab, Yonsei University

Conducted research on neural audio codecs, audio super-resolution, and generative models under Prof. Hong-Goo Kang.

• Developed bandwidth extension methods via flow matching and self-supervised representations.
• ETRI-Yonsei Joint Research Project: Led development of DNN-based post-processing for legacy audio codecs. Served as project leader in the final 6 months, resulting in 1 int’l conference paper, 1 domestic paper, and 1 patent application.

Undergraduate Research Intern

SRIP Lab, Yonsei University

Implemented classical and deep learning-based image processing algorithms including white balancing, denoising, demosaicing, and super-resolution under the supervision of Prof. Moon Gi Kang.

• Undergraduate thesis: A Technical Overview of Deep Learning-Based Single-Image Super-Resolution Methods

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

Neural Spectral Band Generation for Audio Coding

INTERSPEECH 2025

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

UR-BERT: Scaling Text Encoders for Massively Multilingual TTS Through Universal Romanization and Speech Token Prediction

Submitted to INTERSPEECH 2026

Authors: Sangmin Lee, Eekgyun Ahn, Woongjib Choi, and Hong-Goo Kang

SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulating Code-Switching Scenarios

Submitted to INTERSPEECH 2026

Authors: Sangmin Lee, Woongjib Choi, Jihyun Kim, 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

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