Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yuekai Zhang"'
Publikováno v:
iScience, Vol 25, Iss 5, Pp 104183- (2022)
Summary: The designed confocal elliptical core-shell structure can realize the omnidirectional camouflage effect without disturbing temperature and electric potential profiles as the directions of heat flux and electric current change. Based on the a
Externí odkaz:
https://doaj.org/article/c267b4c942614f0e81230eba97cbe020
Publikováno v:
2023 6th International Conference on Communication Engineering and Technology (ICCET).
In recent years, deep convolution neural networks (DCNNs) have achieved great prospects in coronary artery vessel segmentation. However, it is difficult to deploy complicated models in clinical scenarios since high-performance approaches have excessi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2350fab7b5e1b1444a32278c7fb3c9f9
http://arxiv.org/abs/2211.00899
http://arxiv.org/abs/2211.00899
Autor:
Xingchen Song, Di Wu, Zhiyong Wu, Binbin Zhang, Yuekai Zhang, Zhendong Peng, Wenpeng Li, Fuping Pan, Changbao Zhu
In this paper, we present TrimTail, a simple but effective emission regularization method to improve the latency of streaming ASR models. The core idea of TrimTail is to apply length penalty (i.e., by trimming trailing frames, see Fig. 1-(b)) directl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73164c219fa8979c4a7801102dde45d5
Publikováno v:
Journal of Biotechnology and Biomedicine.
Publikováno v:
iScience. 25(5)
The designed confocal elliptical core-shell structure can realize the omnidirectional camouflage effect without disturbing temperature and electric potential profiles as the directions of heat flux and electric current change. Based on the anisotropy
Publikováno v:
IEEE Internet of Things Journal. 6:26-37
Orthogonal frequency division multiplexing (OFDM) is widely considered as a promising technique for vehicular communications. In current OFDM-based vehicular communications systems, a portion of tones are dedicated for pilot symbols and transmitted a
Publikováno v:
ICASSP
The neural network (NN) based singing voice synthesis (SVS) systems require sufficient data to train well and are prone to over-fitting due to data scarcity. However, we often encounter data limitation problem in building SVS systems because of high
Autor:
Tomoki Hayashi, Wangyou Zhang, Jing Shi, Hirofumi Inaguma, Daniel Garcia-Romero, Chenda Li, Xuankai Chang, Shinji Watanabe, Jiatong Shi, Kun Wei, Yuekai Zhang, Pengcheng Guo, Yosuke Higuchi, Naoyuki Kamo, Florian Boyer
Publikováno v:
ICASSP
In this study, we present recent developments on ESPnet: End-to- End Speech Processing toolkit, which mainly involves a recently proposed architecture called Conformer, Convolution-augmented Transformer. This paper shows the results for a wide range
Publikováno v:
ICASSP
This paper proposes an extremely lightweight phone-based transducer model with a tiny decoding graph on edge devices. First, a phone synchronous decoding (PSD) algorithm based on blank label skipping is first used to speed up the transducer decoding