Keunwoo Choi

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Venues

CoRR

ISMIR

ICASSP

IEEE Trans. Emerg. Top. Comput. Intell.

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

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 (2024)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Toward Universal Text-To-Music Retrieval. ICASSP (2023)
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 (2023)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Textless Speech-to-Music Retrieval Using Emotion Similarity. ICASSP (2023)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR (2023)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Textless Speech-to-Music Retrieval Using Emotion Similarity. CoRR (2023)
Minsung Kang, Soochul Park, Keunwoo Choi
HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation. CoRR (2023)
Chang-Bin Jeon, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon, Kyogu Lee
Medleyvox: An Evaluation Dataset for Multiple Singing Voices Separation. ICASSP (2023)
Haven Kim, Keunwoo Choi, Mateusz Modrzejewski, Cynthia C. S. Liem
The Biased Journey of MSD_AUDIO.ZIP. CoRR (2023)
Keunwoo Choi, Jaekwon Im, Laurie Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi
Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR (2023)
Sangshin Oh, Minsung Kang, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon
A Demand-Driven Perspective on Generative Audio AI. CoRR (2023)
Kyungyun Lee, Jeonghun Seo, Keunwoo Choi, Sangmoon Lee, Ben Sangbae Chon
Room Impulse Response Estimation in a Multiple Source Environment. CoRR (2023)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR (2023)
Chang-Bin Jeon, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon, Kyogu Lee
MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation. CoRR (2022)
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 (2022)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Toward Universal Text-to-Music Retrieval. CoRR (2022)
Keunwoo Choi, Sangshin Oh, Minsung Kang, Brian McFee
A Proposal for Foley Sound Synthesis Challenge. CoRR (2022)
Minz Won, Keunwoo Choi, Xavier Serra
Semi-Supervised Music Tagging Transformer. CoRR (2021)
Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song
SpecTNT: a Time-Frequency Transformer for Music Audio. ISMIR (2021)
Keunwoo Choi, Yuxuan Wang
Listen, Read, and Identify: Multimodal Singing Language Identification of Music. CoRR (2021)
Keunwoo Choi, Yuxuan Wang
Listen, Read, and Identify: Multimodal Singing Language Identification of Music. ISMIR (2021)
Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song
SpecTNT: a Time-Frequency Transformer for Music Audio. CoRR (2021)
Minz Won, Janne Spijkervet, Keunwoo Choi
Music Classification: Beyond Supervised Learning, Towards Real-world Applications. CoRR (2021)
Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation. CoRR (2021)
Minz Won, Keunwoo Choi, Xavier Serra
Semi-supervised Music Tagging Transformer. ISMIR (2021)
Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation. ISMIR (2021)
Sanna Wager, Keunwoo Choi, Simon Durand
Dereverberation using joint estimation of dry speech signal and acoustic system. CoRR (2020)
Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi
Deep Composer Classification Using Symbolic Representation. CoRR (2020)
Qiuqiang Kong, Keunwoo Choi, Yuxuan Wang
Large-Scale MIDI-based Composer Classification. CoRR (2020)
Keunwoo Choi, Kyunghyun Cho
Deep Unsupervised Drum Transcription. ISMIR (2019)
Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell
mirdata: Software for Reproducible Usage of Datasets. ISMIR (2019)
Keunwoo Choi, Kyunghyun Cho
Deep Unsupervised Drum Transcription. CoRR (2019)
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) (2019)
Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler
Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. ICASSP (2018)
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. CoRR (2018)
Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. CoRR (2018)
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Revisiting Singing Voice Detection: A quantitative review and the future outlook. ISMIR (2018)
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)
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) (2018)
Keunwoo Choi, Deokjin Joo, Juho Kim
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras. CoRR (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Tutorial on Deep Learning for Music Information Retrieval. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional recurrent neural networks for music classification. ICASSP (2017)
Yeonwoo Jeong, Keunwoo Choi, Hosan Jeong
DLR : Toward a deep learned rhythmic representation for music content analysis. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer Learning for Music Classification and Regression Tasks. ISMIR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer learning for music classification and regression tasks. CoRR (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Explaining Deep Convolutional Neural Networks on Music Classification. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional Recurrent Neural Networks for Music Classification. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Text-based LSTM networks for Automatic Music Composition. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Music Captioning: Generating Music Playlist Descriptions. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. UMAP (Extended Proceedings) (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Automatic tagging using deep convolutional neural networks. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Understanding Music Playlists. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

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Keunwoo Choi