Zobrazeno 71 - 80
of 1 482
pro vyhledávání: '"Li, Jinyu"'
Autor:
Li, Jinyu, Ji, He, Zhang, Zunguo, Bai, Gang, Zhao, Hongbao, Zhou, Xihua, Wang, Yueran, Li, Yixin
Publikováno v:
In Arabian Journal of Chemistry June 2024 17(6)
Autor:
Bai, Ji Dong K., Saha, Suchandrima, Wood, Michael C., Chen, Bo, Li, Jinyu, Dow, Lukas E., Montrose, David C.
Publikováno v:
In The American Journal of Pathology June 2024 194(6):927-940
Autor:
Lin, Riyi, Huang, Chenxing, Wu, Chengzhi, Lu, Chang, Yu, Xichong, Li, Xuanyu, Li, Jinyu, Wang, Yiya
Publikováno v:
In Journal of Molecular Liquids 15 May 2024 402
Publikováno v:
In Heliyon 15 May 2024 10(9)
Autor:
Tuxun, Hairegu, Li, Jinyu, Lee, Hande, Li, Yunyang, Xiong, Jiabao, Yilihamu, Yilizhat, Duan, Yingni, Zhu, Yaqi, Chen, Huan, Alifu, Nuernisha
Publikováno v:
In Optical Materials May 2024 151
Autor:
Zhang, Xiaodan, Jackson, Sira, Liu, Jianhao, Li, Jinyu, Yang, Zhihan, Sun, Dianjun, Zhang, Wei
Publikováno v:
In Food and Chemical Toxicology May 2024 187
Autor:
Wang, Heming, Qian, Yao, Wang, Xiaofei, Wang, Yiming, Wang, Chengyi, Liu, Shujie, Yoshioka, Takuya, Li, Jinyu, Wang, DeLiang
Noise robustness is essential for deploying automatic speech recognition (ASR) systems in real-world environments. One way to reduce the effect of noise interference is to employ a preprocessing module that conducts speech enhancement, and then feed
Externí odkaz:
http://arxiv.org/abs/2110.15430
While permutation invariant training (PIT) based continuous speech separation (CSS) significantly improves the conversation transcription accuracy, it often suffers from speech leakages and failures in separation at "hot spot" regions because it has
Externí odkaz:
http://arxiv.org/abs/2110.14838
Autor:
Chen, Sanyuan, Wang, Chengyi, Chen, Zhengyang, Wu, Yu, Liu, Shujie, Chen, Zhuo, Li, Jinyu, Kanda, Naoyuki, Yoshioka, Takuya, Xiao, Xiong, Wu, Jian, Zhou, Long, Ren, Shuo, Qian, Yanmin, Qian, Yao, Zeng, Michael, Yu, Xiangzhan, Wei, Furu
Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks. As speech signal contains multi-faceted information including speaker identity, paralinguisti
Externí odkaz:
http://arxiv.org/abs/2110.13900
Autor:
Zhang, Wangyou, Chen, Zhuo, Kanda, Naoyuki, Liu, Shujie, Li, Jinyu, Eskimez, Sefik Emre, Yoshioka, Takuya, Xiao, Xiong, Meng, Zhong, Qian, Yanmin, Wei, Furu
Multi-talker conversational speech processing has drawn many interests for various applications such as meeting transcription. Speech separation is often required to handle overlapped speech that is commonly observed in conversation. Although the ori
Externí odkaz:
http://arxiv.org/abs/2110.14142