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Keunwoo Choi
Keunwoo Choi
Gaudio Lab
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Titel
Zitiert von
Zitiert von
Jahr
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
5132017
Automatic Tagging Using Deep Convolutional Neural Networks
K Choi, G Fazekas, M Sandler
The 17th International Society of Music Information Retrieval Conference …, 2016
3532016
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
2322017
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
1172016
A Tutorial on Deep Learning for Music Information Retrieval
K Choi, G Fazekas, K Cho, M Sandler
arXiv:1709.04396, 2017
1052017
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
872018
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
84*2020
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
782017
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
622018
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
57*2017
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
52*2017
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Zenodo, January, 2020
472020
Explaining Deep Convolutional Neural Networks on Music Classification
K Choi, G Fazekas, M Sandler
http://arxiv.org/abs/1607.02444, 2016
472016
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
432016
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation
Q Kong, Y Cao, H Liu, K Choi, Y Wang
Proc. of International Society for Music Information Retrieval Conference …, 2021
342021
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
272015
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
K Lee, K Choi, J Nam
ISMIR 2018, 2018
232018
Deep Unsupervised Drum Transcription
K Choi, K Cho
The 20th International Society of Music Information Retrieval (ISMIR …, 2019
222019
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
222019
Semi-supervised Music Tagging Transformer
M Won, K Choi, X Serra
Proc. of International Society for Music Information Retrieval Conference …, 2021
172021
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