| 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 | 353 | 2017 |
| Automatic Tagging Using Deep Convolutional Neural Networks K Choi, G Fazekas, M Sandler The 17th International Society of Music Information Retrieval Conference …, 2016 | 266 | 2016 |
| 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 | 150 | 2017 |
| 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 | 86 | 2016 |
| A Tutorial on Deep Learning for Music Information Retrieval K Choi, G Fazekas, K Cho, M Sandler arXiv:1709.04396, 2017 | 61 | 2017 |
| 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 | 54 | 2017 |
| 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 | 52* | 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 | 36 | 2018 |
| 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 | 36 | 2016 |
| Explaining Deep Convolutional Neural Networks on Music Classification K Choi, G Fazekas, M Sandler http://arxiv.org/abs/1607.02444, 2016 | 34 | 2016 |
| librosa/librosa: 0.7. 2 B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ... Version 0.7 1, 2019 | 33 | 2019 |
| 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 | 33 | 2018 |
| 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 | 33* | 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 | 22 | 2015 |
| 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 | 19 | 2019 |
| Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook K Lee, K Choi, J Nam ISMIR 2018, 2018 | 16 | 2018 |
| 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 | 13 | 2016 |
| Deep Unsupervised Drum Transcription K Choi, K Cho The 20th International Society of Music Information Retrieval (ISMIR …, 2019 | 11 | 2019 |
| 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 | 10 | 2018 |
| 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 | 9 | 2011 |
Mark SandlerQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
