| Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation Y Wu, K Chen, T Zhang, Y Hui, T Berg-Kirkpatrick, S Dubnov ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 520 | 2023 |
| Musicldm: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies K Chen, Y Wu, H Liu, M Nezhurina, T Berg-Kirkpatrick, S Dubnov ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 69 | 2024 |
| MIDI-DDSP: Detailed control of musical performance via hierarchical modeling Y Wu, E Manilow, Y Deng, R Swavely, K Kastner, T Cooijmans, ... ICLR 2022, 2021 | 60 | 2021 |
| Audio Captioning Based on Transformer and Pre-Trained CNN. K Chen, Y Wu, Z Wang, X Zhang, F Nian, S Li, X Shao DCASE, 21-25, 2020 | 56 | 2020 |
| An encoder-decoder based audio captioning system with transfer and reinforcement learning X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ... DCASE 2021 workshop, 2021 | 53 | 2021 |
| Durian-sc: Duration informed attention network based singing voice conversion system L Zhang, C Yu, H Lu, C Weng, C Zhang, Y Wu, X Xie, Z Li, D Yu Interspeech 2020, 2020 | 42* | 2020 |
| The song describer dataset: a corpus of audio captions for music-and-language evaluation I Manco, B Weck, S Doh, M Won, Y Zhang, D Bogdanov, Y Wu, K Chen, ... arXiv preprint arXiv:2311.10057, 2023 | 27 | 2023 |
| An encoder-decoder based audio captioning system with transfer and reinforcement learning for DCASE challenge 2021 task 6 X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ... DCASE2021 Challenge, Tech. Rep, Tech. Rep, 2021 | 17 | 2021 |
| The chamber ensemble generator: Limitless high-quality mir data via generative modeling Y Wu, J Gardner, E Manilow, I Simon, C Hawthorne, J Engel arXiv preprint arXiv:2209.14458, 2022 | 16* | 2022 |
| Audio captioning based on transformer and pre-training for 2020 DCASE audio captioning challenge Y Wu, K Chen, Z Wang, X Zhang, F Nian, S Li, X Shao DCASE2020 Challenge, Tech. Rep., 2020 | 15 | 2020 |
| Peking opera synthesis via duration informed attention network Y Wu, S Li, C Yu, H Lu, C Weng, L Zhang, D Yu Proc. Interspeech 2020, 1226--1230, 2020 | 10* | 2020 |
| Text-to-audio retrieval via large-scale contrastive training Y Wu, T Zhang, K Chen DCASE2022 Challenge, Tech. Rep, 2022 | 5 | 2022 |
| An introduction to a symbolic music dataset of Chinese Guqin pieces and its application example S Li, Y Wu J. Fudan Univ.(Nat. Sci.) 59 (3), 276-285, 2020 | 3 | 2020 |
| Adaptive Accompaniment with ReaLchords Y Wu, T Cooijmans, K Kastner, A Roberts, I Simon, A Scarlatos, ... Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders K Kastner, T Cooijmans, Y Wu, A Courville International Conference on Computational Intelligence in Music, Sound, Art …, 2023 | | 2023 |
| Controllable music performance synthesis via hierarchical modelling Y Wu | | 2023 |
| Datasets That Are Not: Evolving Novelty Through Sparsity and Iterated Learning AC Yusong Wu, Kyle Kastner, Tim Cooijmans, Cheng-Zhi Anna Huang Workshop on Machine Learning for Creativity and Design at NeurIPS 2022, 2022 | | 2022 |
| 1 个中国古琴曲的符号化音乐数据集介绍及其应用实例 S Li, Y Wu Journal of Fudan University (Natural Science) 59 (3), 276-285, 2020 | | 2020 |
| Distinguishing Chinese Guqin and Western Baroque pieces based on statistical model analysis of melodies Y Wu, S Li 14th International Symposium on Computer Music Multidisciplinary Research, 931, 2019 | | 2019 |
| Composing and Validating Large-Scale Datasets for Training Open Foundation Models for Audio M Nezhurina, K Chen, Y Wu, T Zhang, Y Hui, H Liu, T Berg-Kirkpatrick, ... | | |
Ke ChenAdobe Research | University of California San DiegoZweryfikowany adres z ucsd.edu