| nnaudio: An on-the-fly gpu audio to spectrogram conversion toolbox using 1d convolutional neural networks KW Cheuk, H Anderson, K Agres, D Herremans IEEE Access 8, 161981-162003, 2020 | 90 | 2020 |
| Music demixing challenge 2021 Y Mitsufuji, G Fabbro, S Uhlich, FR Stöter, A Défossez, M Kim, W Choi, ... Frontiers in Signal Processing 1, 808395, 2022 | 68 | 2022 |
| The impact of audio input representations on neural network based music transcription KW Cheuk, K Agres, D Herremans 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 31 | 2020 |
| Regression-based music emotion prediction using triplet neural networks KW Cheuk, YJ Luo, BT Balamurali, G Roig, D Herremans 2020 international joint conference on neural networks (ijcnn), 1-7, 2020 | 28 | 2020 |
| Reconvat: A semi-supervised automatic music transcription framework for low-resource real-world data KW Cheuk, D Herremans, L Su Proceedings of the 29th ACM International Conference on Multimedia, 3918-3926, 2021 | 25 | 2021 |
| Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds. YJ Luo, KW Cheuk, T Nakano, M Goto, D Herremans ISMIR, 700-707, 2020 | 21 | 2020 |
| Degradation mechanism of a junction-free transparent silver network electrode KW Cheuk, K Pei, PKL Chan RSC advances 6 (77), 73769-73775, 2016 | 21 | 2016 |
| The effect of spectrogram reconstruction on automatic music transcription: An alternative approach to improve transcription accuracy KW Cheuk, YJ Luo, E Benetos, D Herremans 2020 25th International Conference on Pattern Recognition (ICPR), 9091-9098, 2021 | 19 | 2021 |
| Revisiting the onsets and frames model with additive attention KW Cheuk, YJ Luo, E Benetos, D Herremans 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 16 | 2021 |
| Diffroll: Diffusion-based generative music transcription with unsupervised pretraining capability KW Cheuk, R Sawata, T Uesaka, N Murata, N Takahashi, S Takahashi, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| MERP: a music dataset with emotion ratings and raters’ profile information EY Koh, KW Cheuk, KY Heung, KR Agres, D Herremans Sensors 23 (1), 382, 2022 | 10 | 2022 |
| Jointist: Joint learning for multi-instrument transcription and its applications KW Cheuk, K Choi, Q Kong, B Li, M Won, A Hung, JC Wang, ... arXiv preprint arXiv:2206.10805, 2022 | 7 | 2022 |
| Latent space representation for multi-target speaker detection and identification with a sparse dataset using triplet neural networks KW Cheuk, BT Balamurali, G Roig, D Herremans 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 6 | 2019 |
| Danna-Sep: Unite to separate them all CY Yu, KW Cheuk arXiv preprint arXiv:2112.03752, 2021 | 5 | 2021 |
| nnaudio: A pytorch audio processing tool using 1D convolution neural networks KW Cheuk, K Agres, D Herremans ISMIR–Late breaking demo, 2019 | 5 | 2019 |
| Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training KW Cheuk, K Choi, Q Kong, B Li, M Won, JC Wang, YNHD Herremans arXiv preprint arXiv:2302.00286, 2023 | 3 | 2023 |
| Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription F Cwitkowitz, KW Cheuk, W Choi, MA Martínez-Ramírez, K Toyama, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| Blacklisted speaker identification using triplet neural networks K Cheuk, B Bt, G Roig, D Herremans MCE 2018: The 1st multi-target speaker detection and identification …, 2018 | 2 | 2018 |
| MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage HH Tan, KW Cheuk, T Cho, WH Liao, Y Mitsufuji arXiv preprint arXiv:2403.10024, 2024 | | 2024 |
| Neural Amplifier Modelling with several GAN variants YH Chen, W Choi, WH Liao, MA Martinez Ramirez, KW Cheuk, YH Yang, ... Ismir 2023 Hybrid Conference, 2023 | | 2023 |
