Keunwoo Choi
Keunwoo Choi
Senior Research Scientist, ByteDance
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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
3962017
Automatic Tagging Using Deep Convolutional Neural Networks
K Choi, G Fazekas, M Sandler
The 17th International Society of Music Information Retrieval Conference …, 2016
2912016
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
1722017
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
982016
A Tutorial on Deep Learning for Music Information Retrieval
K Choi, G Fazekas, K Cho, M Sandler
arXiv:1709.04396, 2017
742017
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Version 0.7 1, 2019
602019
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
592017
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
53*2017
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
512018
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
432018
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
392016
Explaining Deep Convolutional Neural Networks on Music Classification
K Choi, G Fazekas, M Sandler
http://arxiv.org/abs/1607.02444, 2016
382016
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
36*2017
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
182018
Deep Unsupervised Drum Transcription
K Choi, K Cho
The 20th International Society of Music Information Retrieval (ISMIR …, 2019
162019
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
Gaussian mixture model for singing voice separation from stereophonic music
M Kim, S Beack, K Choi, K Kang
Audio Engineering Society Conference: 43rd International Conference: Audio …, 2011
92011
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