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pro vyhledávání: '"Deng, Lelai"'
Autor:
Anastassiou, Philip, Chen, Jiawei, Chen, Jitong, Chen, Yuanzhe, Chen, Zhuo, Chen, Ziyi, Cong, Jian, Deng, Lelai, Ding, Chuang, Gao, Lu, Gong, Mingqing, Huang, Peisong, Huang, Qingqing, Huang, Zhiying, Huo, Yuanyuan, Jia, Dongya, Li, Chumin, Li, Feiya, Li, Hui, Li, Jiaxin, Li, Xiaoyang, Li, Xingxing, Liu, Lin, Liu, Shouda, Liu, Sichao, Liu, Xudong, Liu, Yuchen, Liu, Zhengxi, Lu, Lu, Pan, Junjie, Wang, Xin, Wang, Yuping, Wang, Yuxuan, Wei, Zhen, Wu, Jian, Yao, Chao, Yang, Yifeng, Yi, Yuanhao, Zhang, Junteng, Zhang, Qidi, Zhang, Shuo, Zhang, Wenjie, Zhang, Yang, Zhao, Zilin, Zhong, Dejian, Zhuang, Xiaobin
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable of generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as a foundation model for speech generation and excels in sp
Externí odkaz:
http://arxiv.org/abs/2406.02430
Akademický článek
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Autor:
Deng Lelai, Huang Xiaoming
Publikováno v:
Proceedings of the 2015 International Conference on Social Science and Technology Education.
From low to high, information fusion can be divided into three levels. The feature-level fusion not only keeps the most original information, but also overcomes the unstable and large characteristics of original data. In this article, we take six typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e583663af0dbdb97a3e26ffca7950b7
https://doi.org/10.2991/icsste-15.2015.175
https://doi.org/10.2991/icsste-15.2015.175
