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Journal Articles
- 2023
[j2]Enyan Koh, Kin Wai Cheuk
, Kwan Yee Heung, Kat R. Agres, Dorien Herremans:
MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information. Sensors 23(1): 382 (2023)- 2020
- [j1]Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans:
nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access 8: 161981-162003 (2020)
Conference and Workshop Papers
- 2024
- [c10]Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi, Marco A. Martínez Ramírez, Keisuke Toyama, Wei-Hsiang Liao, Yuki Mitsufuji:
Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription. ICASSP 2024: 1291-1295 - 2023
- [c9]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP 2023: 1-5 - 2021
- [c8]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
Revisiting the Onsets and Frames Model with Additive Attention. IJCNN 2021: 1-8 - [c7]Kin Wai Cheuk, Dorien Herremans, Li Su:
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. ACM Multimedia 2021: 3918-3926 - 2020
- [c6]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. ICPR 2020: 9091-9098 - [c5]Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The Impact of Audio Input Representations on Neural Network based Music Transcription. IJCNN 2020: 1-6 - [c4]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN 2020: 1-7 - [c3]Yin-Jyun Luo, Kin Wai Cheuk, Tomoyasu Nakano, Masataka Goto, Dorien Herremans:
Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds. ISMIR 2020: 700-707 - 2019
- [c2]Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans:
Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks. ASRU 2019: 358-364 - [c1]Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres:
Untangling indices of emotion in music using neural networks. CogSci 2019: 3476
Informal and Other Publications
- 2024
- [i19]Hao Hao Tan, Kin Wai Cheuk, Taemin Cho, Wei-Hsiang Liao, Yuki Mitsufuji:
MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage. CoRR abs/2403.10024 (2024) - [i18]Yu-Hua Chen, Woosung Choi, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Kin Wai Cheuk, Yuki Mitsufuji, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data. CoRR abs/2406.15751 (2024) - [i17]Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Keisuke Toyama, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, Yuki Mitsufuji:
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. CoRR abs/2408.10807 (2024) - [i16]Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji:
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR abs/2409.06096 (2024) - [i15]Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji:
VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. CoRR abs/2410.06016 (2024) - [i14]Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji:
Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR abs/2411.01135 (2024) - 2023
- [i13]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans:
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training. CoRR abs/2302.00286 (2023) - [i12]Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi, Marco A. Martínez Ramírez, Keisuke Toyama, Wei-Hsiang Liao, Yuki Mitsufuji:
Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription. CoRR abs/2309.15717 (2023) - 2022
- [i11]Kwan Yee Heung, Kin Wai Cheuk, Dorien Herremans:
Understanding Audio Features via Trainable Basis Functions. CoRR abs/2204.11437 (2022) - [i10]Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans:
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications. CoRR abs/2206.10805 (2022) - [i9]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. CoRR abs/2210.05148 (2022) - 2021
- [i8]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
Revisiting the Onsets and Frames Model with Additive Attention. CoRR abs/2104.06607 (2021) - [i7]Kin Wai Cheuk, Dorien Herremans, Li Su:
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. CoRR abs/2107.04954 (2021) - [i6]Chin-Yun Yu, Kin Wai Cheuk:
Danna-Sep: Unite to separate them all. CoRR abs/2112.03752 (2021) - 2020
- [i5]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based music emotion prediction using triplet neural networks. CoRR abs/2001.09988 (2020) - [i4]Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The impact of Audio input representations on neural network based music transcription. CoRR abs/2001.09989 (2020) - [i3]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. CoRR abs/2010.09969 (2020) - 2019
- [i2]Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans:
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. CoRR abs/1910.01463 (2019) - [i1]Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans:
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks. CoRR abs/1912.12055 (2019)
Coauthor Index
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