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ORCIDJunghyun Koo
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2020 – today
- 2024
[c10]Jayeon Yi, Junghyun Koo, Kyogu Lee:
DDD: A Perceptually Superior Low-Response-Time DNN-Based Declipper. ICASSP 2024: 801-805- [i11]Jayeon Yi, Junghyun Koo, Kyogu Lee:
DDD: A Perceptually Superior Low-Response-Time DNN-based Declipper. CoRR abs/2401.03650 (2024) - [i10]Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux:
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers. CoRR abs/2404.02252 (2024) - [i9]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:
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR abs/2409.06096 (2024) - 2023
- [c9]Junghyun Koo
, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji:
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. ICASSP 2023: 1-5 - [c8]Junghyun Koo, Yunkee Chae, Chang-Bin Jeon, Kyogu Lee:
Self-Refining of Pseudo Labels for Music Source Separation With Noisy Labeled Data. ISMIR 2023: 716-724 - [c7]Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee:
Exploiting Time-Frequency Conformers for Music Audio Enhancement. ACM Multimedia 2023: 2362-2370 - [i8]Junghyun Koo, Yunkee Chae, Chang-Bin Jeon, Kyogu Lee:
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data. CoRR abs/2307.12576 (2023) - [i7]Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee:
Exploiting Time-Frequency Conformers for Music Audio Enhancement. CoRR abs/2308.12599 (2023) - 2022
- [c6]Junghyun Koo, Seungryeol Paik, Kyogu Lee:
End-To-End Music Remastering System Using Self-Supervised And Adversarial Training. ICASSP 2022: 4608-4612 - [c5]Jin Woo Lee, Eungbeom Kim, Junghyun Koo, Kyogu Lee:
Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification. INTERSPEECH 2022: 2898-2902 - [i6]Junghyun Koo, Seungryeol Paik, Kyogu Lee:
End-to-end Music Remastering System Using Self-supervised and Adversarial Training. CoRR abs/2202.08520 (2022) - [i5]Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji:
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. CoRR abs/2211.02247 (2022) - 2021
- [c4]Junghyun Koo, Seungryeol Paik, Kyogu Lee:
Reverb Conversion Of Mixed Vocal Tracks Using An End-To-End Convolutional Deep Neural Network. ICASSP 2021: 81-85 - [i4]Junghyun Koo, Seungryeol Paik, Kyogu Lee:
Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network. CoRR abs/2103.02147 (2021) - 2020
- [c3]Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee:
Disentangling Timbre and Singing Style with Multi-Singer Singing Synthesis System. ICASSP 2020: 7224-7228 - [c2]Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee:
Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer's Dementia Recognition. INTERSPEECH 2020: 2217-2221 - [i3]Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee:
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition. CoRR abs/2009.04070 (2020)
2010 – 2019
- 2019
- [c1]Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee:
Adversarially Trained End-to-End Korean Singing Voice Synthesis System. INTERSPEECH 2019: 2588-2592 - [i2]Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee:
Adversarially Trained End-to-end Korean Singing Voice Synthesis System. CoRR abs/1908.01919 (2019) - [i1]Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee:
Disentangling Timbre and Singing Style with Multi-singer Singing Synthesis System. CoRR abs/1910.13069 (2019)
Coauthor Index
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last updated on 2024-10-15 20:40 CEST by the dblp team
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