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ORCIDKeunwoo Choi
Person information
- affiliation: Spotify Inc., New York, NY, USA
- affiliation (PhD 2018): Queen Mary University of London, School of Electronic Engineering and Computer Science, Centre for Digital Music, UK
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2020 – today
- 2024
[i37]Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto:
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant. CoRR abs/2403.17508 (2024)- 2023
- [c17]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. ICASSP 2023: 1-5 - [c16]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-To-Music Retrieval. ICASSP 2023: 1-5 - [c15]Chang-Bin Jeon, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon, Kyogu Lee:
Medleyvox: An Evaluation Dataset for Multiple Singing Voices Separation. ICASSP 2023: 1-5 - [c14]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR 2023: 409-416 - [i36]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans:
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training. CoRR abs/2302.00286 (2023) - [i35]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. CoRR abs/2303.10539 (2023) - [i34]Keunwoo Choi, Jaekwon Im, Laurie M. Heller
, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi:
Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR abs/2304.12521 (2023) - [i33]Kyungyun Lee, Jeonghun Seo, Keunwoo Choi, Sangmoon Lee, Ben Sangbae Chon:
Room Impulse Response Estimation in a Multiple Source Environment. CoRR abs/2305.15898 (2023) - [i32]Sangshin Oh, Minsung Kang, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon:
A Demand-Driven Perspective on Generative Audio AI. CoRR abs/2307.04292 (2023) - [i31]Minsung Kang, Soochul Park, Keunwoo Choi:
HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation. CoRR abs/2307.04377 (2023) - [i30]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR abs/2307.16372 (2023) - [i29]Haven Kim, Keunwoo Choi, Mateusz Modrzejewski, Cynthia C. S. Liem:
The Biased Journey of MSD_AUDIO.ZIP. CoRR abs/2308.16389 (2023) - 2022
- [i28]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans:
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications. CoRR abs/2206.10805 (2022) - [i27]Keunwoo Choi, Sangshin Oh, Minsung Kang, Brian McFee:
A Proposal for Foley Sound Synthesis Challenge. CoRR abs/2207.10760 (2022) - [i26]Chang-Bin Jeon, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon, Kyogu Lee:
MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation. CoRR abs/2211.07302 (2022) - [i25]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-to-Music Retrieval. CoRR abs/2211.14558 (2022) - 2021
- [c13]Keunwoo Choi, Yuxuan Wang:
Listen, Read, and Identify: Multimodal Singing Language Identification of Music. ISMIR 2021: 121-127 - [c12]Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang:
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation. ISMIR 2021: 342-349 - [c11]Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song:
SpecTNT: a Time-Frequency Transformer for Music Audio. ISMIR 2021: 396-403 - [c10]Minz Won, Keunwoo Choi, Xavier Serra:
Semi-supervised Music Tagging Transformer. ISMIR 2021: 769-776 - [i24]Keunwoo Choi, Yuxuan Wang:
Listen, Read, and Identify: Multimodal Singing Language Identification of Music. CoRR abs/2103.01893 (2021) - [i23]Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang:
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation. CoRR abs/2109.05418 (2021) - [i22]Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song:
SpecTNT: a Time-Frequency Transformer for Music Audio. CoRR abs/2110.09127 (2021) - [i21]Minz Won, Janne Spijkervet, Keunwoo Choi:
Music Classification: Beyond Supervised Learning, Towards Real-world Applications. CoRR abs/2111.11636 (2021) - [i20]Minz Won, Keunwoo Choi, Xavier Serra:
Semi-Supervised Music Tagging Transformer. CoRR abs/2111.13457 (2021) - 2020
- [i19]Sanna Wager, Keunwoo Choi, Simon Durand:
Dereverberation using joint estimation of dry speech signal and acoustic system. CoRR abs/2007.12581 (2020) - [i18]Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi:
Deep Composer Classification Using Symbolic Representation. CoRR abs/2010.00823 (2020) - [i17]Qiuqiang Kong, Keunwoo Choi, Yuxuan Wang:
Large-Scale MIDI-based Composer Classification. CoRR abs/2010.14805 (2020)
2010 – 2019
- 2019
- [j2]Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yi-Hsuan Yang:
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. IEEE Signal Process. Mag. 36(1): 41-51 (2019) - [c9]Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell:
mirdata: Software for Reproducible Usage of Datasets. ISMIR 2019: 99-106 - [c8]Keunwoo Choi, Kyunghyun Cho:
Deep Unsupervised Drum Transcription. ISMIR 2019: 183-191 - [i16]Keunwoo Choi, Kyunghyun Cho:
Deep Unsupervised Drum Transcription. CoRR abs/1906.03697 (2019) - 2018
- [b1]Keunwoo Choi:
Deep neural networks for music tagging. Queen Mary University of London, UK, 2018 - [j1]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 139-149 (2018) - [c7]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. EUSIPCO 2018: 1870-1874 - [c6]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. ICASSP 2018: 356-360 - [c5]Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: A quantitative review and the future outlook. ISMIR 2018: 506-513 - [i15]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. CoRR abs/1802.05178 (2018) - [i14]Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. CoRR abs/1806.01180 (2018) - 2017
- [c4]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Convolutional recurrent neural networks for music classification. ICASSP 2017: 2392-2396 - [c3]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Transfer Learning for Music Classification and Regression Tasks. ISMIR 2017: 141-149 - [i13]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Transfer learning for music classification and regression tasks. CoRR abs/1703.09179 (2017) - [i12]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR abs/1706.02361 (2017) - [i11]Keunwoo Choi, Deokjin Joo, Juho Kim:
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras. CoRR abs/1706.05781 (2017) - [i10]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR abs/1709.01922 (2017) - [i9]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
A Tutorial on Deep Learning for Music Information Retrieval. CoRR abs/1709.04396 (2017) - [i8]Yeonwoo Jeong, Keunwoo Choi, Hosan Jeong:
DLR : Toward a deep learned rhythmic representation for music content analysis. CoRR abs/1712.05119 (2017) - 2016
- [c2]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR 2016: 805-811 - [c1]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. UMAP (Extended Proceedings) 2016 - [i7]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Text-based LSTM networks for Automatic Music Composition. CoRR abs/1604.05358 (2016) - [i6]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Automatic tagging using deep convolutional neural networks. CoRR abs/1606.00298 (2016) - [i5]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR abs/1606.02096 (2016) - [i4]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Explaining Deep Convolutional Neural Networks on Music Classification. CoRR abs/1607.02444 (2016) - [i3]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Music Captioning: Generating Music Playlist Descriptions. CoRR abs/1608.04868 (2016) - [i2]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Convolutional Recurrent Neural Networks for Music Classification. CoRR abs/1609.04243 (2016) - 2015
- [i1]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Understanding Music Playlists. CoRR abs/1511.07004 (2015)
Coauthor Index
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last updated on 2024-04-25 01:18 CEST by the dblp team
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