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@ -85,7 +85,7 @@ If you find the Muzic project useful in your work, you can cite the papers as fo
* [9] ***Museformer**: Transformer with Fine- and Coarse-Grained Attention for Music Generation*, Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu, **NeurIPS 2022**.
* [10] ***PopMAG**: Pop Music Accompaniment Generation*, Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu, **ACM Multimedia 2020**.
* [11] ***HiFiSinger**: Towards High-Fidelity Neural Singing Voice Synthesis*, Jiawei Chen, Xu Tan, Jian Luan, Tao Qin, Tie-Yan Liu, arXiv 2020.
* [12] ***CLaMP**: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval*, Shangda Wu, Dingyao Yu, Xu Tan, Maosong Sun, arXiv 2023.
* [12] ***CLaMP**: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval*, Shangda Wu, Dingyao Yu, Xu Tan, Maosong Sun, **ISMIR 2023**.
* [13] ***GETMusic**: Generating Any Music Tracks with a Unified Representation and Diffusion Framework*, Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan, arXiv 2023.
* [14] ***MuseCoco**: Generating Symbolic Music from Text*, Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian, arXiv 2023.