Keunwoo Choi
Keunwoo Choi
Senior Research Scientist, ByteDance
Verified email at bytedance.com - Homepage
Title
Cited by
Cited by
Year
Convolutional Recurrent Neural Networks for Music Classification
K Choi, G Fazekas, M Sandler, K Cho
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017
4272017
Automatic Tagging Using Deep Convolutional Neural Networks
K Choi, G Fazekas, M Sandler
The 17th International Society of Music Information Retrieval Conference …, 2016
3122016
Transfer learning for music classification and regression tasks
K Choi, G Fazekas, M Sandler, K Cho
The 18th International Society of Music Information Retrieval (ISMIR …, 2017
1882017
Text-based LSTM networks for Automatic Music Composition
K Choi, G Fazekas, M Sandler
1st Conference on Computer Simulation of Musical Creativity, Huddersfield, UK, 2016
1052016
A Tutorial on Deep Learning for Music Information Retrieval
K Choi, G Fazekas, K Cho, M Sandler
arXiv:1709.04396, 2017
842017
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Version 0.7 1, 2019
642019
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
K Choi, D Joo, J Kim
Machine Learning for Music Discovery Workshop at 34th International …, 2017
642017
Deep learning for audio-based music classification and tagging: Teaching computers to distinguish rock from Bach
J Nam, K Choi, J Lee, SY Chou, YH Yang
IEEE Signal Processing Magazine 36 (1), 41-51, 2018
572018
librosa 0.5. 0
B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ...
Zenodo. URL: https://doi. org/10 5281, 2017
54*2017
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
K Choi, G Fazekas, K Cho, M Sandler
Proceedings of EUSIPCO 2018, 2018
472018
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging
K Choi, G Fazekas, K Cho, M Sandler
Transactions on Emerging Topics in Computational Intelligence, 10.1109/TETCI …, 2017
41*2017
Binaural rendering method and apparatus for decoding multi channel audio
YJ Lee, JI Seo, JH Yoo, SK Beack, JM Sung, TJ Lee, KO Kang, JW Kim, ...
US Patent 9,319,819, 2016
412016
Explaining Deep Convolutional Neural Networks on Music Classification
K Choi, G Fazekas, M Sandler
http://arxiv.org/abs/1607.02444, 2016
402016
Auralisation of Deep Convolutional Neural Networks: Listening to Learned Features
K Choi, J Kim, G Fazekas, M Sandler
International Society of Music Information Retrieval (ISMIR), Late-Breaking …, 2015
262015
librosa/librosa: 0.6. 3
B McFee, M McVicar, S Balke, C Thomé, C Raffel, D Lee, O Nieto, ...
URL: https://doi. org/10.5281/zenodo 2564164, 2019
212019
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
K Lee, K Choi, J Nam
ISMIR 2018, 2018
202018
Deep Unsupervised Drum Transcription
K Choi, K Cho
The 20th International Society of Music Information Retrieval (ISMIR …, 2019
172019
librosa/librosa 0.8.0
B McFee, V Lostanlen, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, ...
Moore, R. Bittner, S. Hidaka, Z. Wei, nullmightybofo, D. Herenú, F.-R …, 2020
14*2020
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
K Choi, G Fazekas, M Sandler
Workshop on Surprise, Opposition, and Obstruction in Adaptive and …, 2016
142016
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders
A Mehrabi, K Choi, S Dixon, M Sandler
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018
122018
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Articles 1–20