Junghyun Koo

39 papers A* 1A 3Misc 8Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatic Music Mixing using a Generative Model of Effect Embeddings.
CoRR
Eloi Moliner, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Kin Wai Cheuk, Joan Serrà, Vesa Välimäki, Yuki Mitsufuji
2025 — conf
Can Large Language Models Predict Audio Effects Parameters from Natural Language?
WASPAA
Seungheon Doh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Juhan Nam, Yuki Mitsufuji
2025 J jnl
Can Large Language Models Predict Audio Effects Parameters from Natural Language?
CoRR
Seungheon Doh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Juhan Nam, Yuki Mitsufuji
2025 J jnl
Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution.
CoRR
Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji
2025 J jnl
DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions.
CoRR
Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Ben Hayes, Wei-Hsiang Liao, György Fazekas, Yuki Mitsufuji
2025 — conf
Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures.
ISMIR
Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji
2025 J jnl
Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures.
CoRR
Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji
2025 — conf
ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors.
ISMIR
Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Michele Mancusi, Yuki Mitsufuji
2025 J jnl
ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors.
CoRR
Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Michele Mancusi, Yuki Mitsufuji
2025 — conf
Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior.
WASPAA
Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas
2025 J jnl
Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior.
CoRR
Chin-Yun Yu, Marco A. Martínez Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji, György Fazekas
2025 J jnl
LLM2Fx-Tools: Tool Calling For Music Post-Production.
CoRR
Seungheon Doh, Junghyun Koo, Marco A. Martínez Ramírez, Woosung Choi, Wei-Hsiang Liao, Qiyu Wu, Juhan Nam, Yuki Mitsufuji
2025 J jnl
Large-Scale Training Data Attribution for Music Generative Models via Unlearning.
CoRR
Woosung Choi, Junghyun Koo, Kin Wai Cheuk, Joan Serrà, Marco A. Martínez Ramírez, Yukara Ikemiya, Naoki Murata, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji
2025 Misc conf
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.
ICASSP
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
2025 Misc conf
TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument.
ICASSP
Kyungsu Kim, Junghyun Koo, Sungho Lee, Haesun Joung, Kyogu Lee
2025 J jnl
TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument.
CoRR
Kyungsu Kim, Junghyun Koo, Sungho Lee, Haesun Joung, Kyogu Lee
2025 Misc conf
Variable Bitrate Residual Vector Quantization for Audio Coding.
ICASSP
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
2024 Misc conf
DDD: A Perceptually Superior Low-Response-Time DNN-Based Declipper.
ICASSP
Jayeon Yi, Junghyun Koo, Kyogu Lee
2024 J jnl
DDD: A Perceptually Superior Low-Response-Time DNN-based Declipper.
CoRR
Jayeon Yi, Junghyun Koo, Kyogu Lee
2024 J jnl
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.
CoRR
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
2024 J jnl
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers.
CoRR
Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
2024 J jnl
VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression.
CoRR
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
2023 A* conf
Exploiting Time-Frequency Conformers for Music Audio Enhancement.
ACM Multimedia
Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee
2023 J jnl
Exploiting Time-Frequency Conformers for Music Audio Enhancement.
CoRR
Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee
2023 Misc conf
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.
ICASSP
Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji
2023 — conf
Self-Refining of Pseudo Labels for Music Source Separation With Noisy Labeled Data.
ISMIR
Junghyun Koo, Yunkee Chae, Chang-Bin Jeon, Kyogu Lee
2023 J jnl
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data.
CoRR
Junghyun Koo, Yunkee Chae, Chang-Bin Jeon, Kyogu Lee
2022 Misc conf
End-To-End Music Remastering System Using Self-Supervised And Adversarial Training.
ICASSP
Junghyun Koo, Seungryeol Paik, Kyogu Lee
2022 J jnl
End-to-end Music Remastering System Using Self-supervised and Adversarial Training.
CoRR
Junghyun Koo, Seungryeol Paik, Kyogu Lee
2022 J jnl
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.
CoRR
Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji
2022 A conf
Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification.
INTERSPEECH
Jin Woo Lee, Eungbeom Kim, Junghyun Koo, Kyogu Lee
2021 Misc conf
Reverb Conversion Of Mixed Vocal Tracks Using An End-To-End Convolutional Deep Neural Network.
ICASSP
Junghyun Koo, Seungryeol Paik, Kyogu Lee
2021 J jnl
Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network.
CoRR
Junghyun Koo, Seungryeol Paik, Kyogu Lee
2020 Misc conf
Disentangling Timbre and Singing Style with Multi-Singer Singing Synthesis System.
ICASSP
Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee
2020 J jnl
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition.
CoRR
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee
2020 A conf
Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer's Dementia Recognition.
INTERSPEECH
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee
2019 A conf
Adversarially Trained End-to-End Korean Singing Voice Synthesis System.
INTERSPEECH
Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee
2019 J jnl
Adversarially Trained End-to-end Korean Singing Voice Synthesis System.
CoRR
Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee
2019 J jnl
Disentangling Timbre and Singing Style with Multi-singer Singing Synthesis System.
CoRR
Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee