Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhaoyi Gu"'
Autor:
Zhiyuan Ruan, Shuni Li, Alexandra Grigoropoulos, Hossein Amiri, Shayna L. Hilburg, Haotian Chen, Ivan Jayapurna, Tao Jiang, Zhaoyi Gu, Alfredo Alexander-Katz, Carlos Bustamante, Haiyan Huang, Ting Xu
Publikováno v:
Nature. 615:251-258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bf31a91af94d92fc427c1d228ce9416
https://doi.org/10.1038/s41586-022-05675-0
https://doi.org/10.1038/s41586-022-05675-0
Publikováno v:
The Journal of the Acoustical Society of America. 151(6)
The complete decomposition performed by blind source separation is computationally demanding and superfluous when only the speech of one specific target speaker is desired. This letter proposes a computationally efficient blind source extraction meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf31b2437cba0c0f1c1a566f2cc41584
https://pubmed.ncbi.nlm.nih.gov/35778216
https://pubmed.ncbi.nlm.nih.gov/35778216
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e948140e32f16b41b8a392c9cb59481
https://doi.org/10.21437/interspeech.2019-2076
https://doi.org/10.21437/interspeech.2019-2076
Publikováno v:
JASA Express Letters. 1:024801
A dedicated multi-task network for a direct-path dominance test has been proposed recently, based on which the robustness of the direction-of-arrival estimation for a target speaker tends to be significantly improved. In this Letter, the network is f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83eb7da994b9866d8df8300a69bac9ad
https://doi.org/10.1121/10.0003547
https://doi.org/10.1121/10.0003547
Publikováno v:
Sensors, Vol 19, Iss 3, p 591 (2019)
To precisely diagnose the rotating machinery structural faults, especially structural faults under low rotating speeds, a novel scheme based on combination of empirical mode decomposition (EMD), sample entropy, and deep belief network (DBN) is propos
Externí odkaz:
https://doaj.org/article/bf82806c47fa4585a0d885a558ec7e62
Publikováno v:
Sensors, Vol 18, Iss 7, p 2235 (2018)
Singular value decomposition (SVD) is an effective method used in bearing fault diagnosis. Ideally two important problems should be solved in any diagnosis: one is how to decide the dimension embedding of the trajectory matrix (TM); the other is how
Externí odkaz:
https://doaj.org/article/6ce2edb26dd64ed285fb068f7d2c3357