Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Li Bochen"'
Autor:
Bai, Ye, Chen, Haonan, Chen, Jitong, Chen, Zhuo, Deng, Yi, Dong, Xiaohong, Hantrakul, Lamtharn, Hao, Weituo, Huang, Qingqing, Huang, Zhongyi, Jia, Dongya, La, Feihu, Le, Duc, Li, Bochen, Li, Chumin, Li, Hui, Li, Xingxing, Liu, Shouda, Lu, Wei-Tsung, Lu, Yiqing, Shaw, Andrew, Spijkervet, Janne, Sun, Yakun, Wang, Bo, Wang, Ju-Chiang, Wang, Yuping, Wang, Yuxuan, Xu, Ling, Yang, Yifeng, Yao, Chao, Zhang, Shuo, Zhang, Yang, Zhang, Yilin, Zhao, Hang, Zhao, Ziyi, Zhong, Dejian, Zhou, Shicen, Zou, Pei
We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key m
Externí odkaz:
http://arxiv.org/abs/2409.09214
Autor:
Chen, Haonan, Smith, Jordan B. L., Spijkervet, Janne, Wang, Ju-Chiang, Zou, Pei, Li, Bochen, Kong, Qiuqiang, Du, Xingjian
Progress in the task of symbolic music generation may be lagging behind other tasks like audio and text generation, in part because of the scarcity of symbolic training data. In this paper, we leverage the greater scale of audio music data by applyin
Externí odkaz:
http://arxiv.org/abs/2409.03055
Autor:
Wang, Haozhi, Yin, Fangfei, Li, Linyun, Li, Mingqiang, Fang, Zheng, Sun, Chenyun, Li, Bochen, Shi, Jiye, Li, Jiang, Wang, Lihua, Song, Shiping, Zuo, Xiaolei, Liu, Xiaoguo, Fan, Chunhai
DNA monolayers with inherent chirality play a pivotal role across various domains, including biosensors, DNA chips, and bioelectronics. Nonetheless, conventional DNA chiral monolayers, typically constructed from single-stranded DNA (ssDNA) or double-
Externí odkaz:
http://arxiv.org/abs/2310.09475
Publikováno v:
Advances in Pacific Basin Business, Economics and Finance
Autor:
Cheuk, Kin Wai, Choi, Keunwoo, Kong, Qiuqiang, Li, Bochen, Won, Minz, Wang, Ju-Chiang, Hung, Yun-Ning, Herremans, Dorien
In this paper, we introduce Jointist, an instrument-aware multi-instrument framework that is capable of transcribing, recognizing, and separating multiple musical instruments from an audio clip. Jointist consists of an instrument recognition module t
Externí odkaz:
http://arxiv.org/abs/2302.00286
Publikováno v:
China Finance Review International, 2023, Vol. 14, Issue 2, pp. 269-309.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CFRI-07-2023-0184
Autor:
Cheuk, Kin Wai, Choi, Keunwoo, Kong, Qiuqiang, Li, Bochen, Won, Minz, Hung, Amy, Wang, Ju-Chiang, Herremans, Dorien
In this paper, we introduce Jointist, an instrument-aware multi-instrument framework that is capable of transcribing, recognizing, and separating multiple musical instruments from an audio clip. Jointist consists of the instrument recognition module
Externí odkaz:
http://arxiv.org/abs/2206.10805
Autor:
Li, Bochen, Zhu, Ruiqin, Wang, Hongyan, Zhong, Daokun, Feng, Zhao, Yang, Xiaolong, Sun, Yuanhui, Zhou, Guijiang, Jiao, Bo
Publikováno v:
In Organic Electronics December 2024 135
Autor:
Zhou, Shangwei, Wu, Yunsong, Xu, Linlin, Kockelmann, Winfried, Rasha, Lara, Du, Wenjia, Owen, Rhodri, Yang, Jiadi, Li, Bochen, Shearing, Paul R., Coppens, Marc-Olivier, Brett, Dan J.L., Jervis, Rhodri
Publikováno v:
In Cell Reports Physical Science 18 September 2024 5(9)
Separating a song into vocal and accompaniment components is an active research topic, and recent years witnessed an increased performance from supervised training using deep learning techniques. We propose to apply the visual information correspondi
Externí odkaz:
http://arxiv.org/abs/2107.00231