Junghyun Koo

According to our database, Junghyun Koo authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution.

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji

CoRR, July, 2025

Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures.

Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji

CoRR, July, 2025

Large-Scale Training Data Attribution for Music Generative Models via Unlearning.

Woosung Choi, Junghyun Koo, Kin Wai Cheuk, Joan Serrà, Marco A. Martínez Ramírez, Yukara Ikemiya, Naoki Murata, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, June, 2025

ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors.

Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Michele Mancusi, Yuki Mitsufuji

CoRR, June, 2025

Can Large Language Models Predict Audio Effects Parameters from Natural Language?

Seungheon Doh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Juhan Nam, Yuki Mitsufuji

CoRR, May, 2025

Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior.

Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas

CoRR, May, 2025

DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions.

Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Ben Hayes, Wei-Hsiang Liao, György Fazekas, Yuki Mitsufuji

CoRR, April, 2025

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument.

Kyungsu Kim, Junghyun Koo, Sungho Lee, Haesun Joung, Kyogu Lee

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Variable Bitrate Residual Vector Quantization for Audio Coding.

Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression.

Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

CoRR, 2024

SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers.

Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux

CoRR, 2024

DDD: A Perceptually Superior Low-Response-Time DNN-Based Declipper.

Jayeon Yi, Junghyun Koo, Kyogu Lee

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Exploiting Time-Frequency Conformers for Music Audio Enhancement.

Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-Refining of Pseudo Labels for Music Source Separation With Noisy Labeled Data.

Junghyun Koo, Yunkee Chae, Chang-Bin Jeon, Kyogu Lee

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.

Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification.

Jin Woo Lee, Eungbeom Kim, Junghyun Koo, Kyogu Lee

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

End-To-End Music Remastering System Using Self-Supervised And Adversarial Training.

Junghyun Koo, Seungryeol Paik, Kyogu Lee

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Reverb Conversion Of Mixed Vocal Tracks Using An End-To-End Convolutional Deep Neural Network.

Junghyun Koo, Seungryeol Paik, Kyogu Lee

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer's Dementia Recognition.

Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Disentangling Timbre and Singing Style with Multi-Singer Singing Synthesis System.

Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Adversarially Trained End-to-End Korean Singing Voice Synthesis System.

Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019