Zobrazeno 1 - 10
of 49 618
pro vyhledávání: '"verification system"'
Autor:
Kaja, RaviKanth
In an era marked by the widespread sharing of digital content, the need for a robust content-integrity verification goes beyond the confines of individual social media platforms. While verified profiles (such as blue ticks on platforms like Instagram
Externí odkaz:
http://arxiv.org/abs/2411.19750
In this paper, we present a remote verification environment for Mizar and its integration with a web platform. Although a VSCode extension for Mizar is already available, it requires installing the Mizar verification tools locally. Our newly develope
Externí odkaz:
http://arxiv.org/abs/2410.20809
Autor:
Loveday, Nicholas1 (AUTHOR) nicholas.loveday@bom.gov.au, Griffiths, Deryn1 (AUTHOR), Leeuwenburg, Tennessee1 (AUTHOR), Taggart, Robert J.2 (AUTHOR), Pagano, Thomas C.1 (AUTHOR), Cheng, George1 (AUTHOR), Plastow, Kevin3 (AUTHOR), Ebert, Elizabeth E.1 (AUTHOR), Templeton, Cassandra1 (AUTHOR), Carroll, Maree1 (AUTHOR), Khanarmuei, Mohammadreza3 (AUTHOR), Nagpal, Isha1 (AUTHOR)
Publikováno v:
Bulletin of the American Meteorological Society. Nov2024, Vol. 105 Issue 11, pE2047-E2063. 17p.
Autor:
Kim, Seung-bin, Lim, Chan-yeong, Heo, Jungwoo, Kim, Ju-ho, Shin, Hyun-seo, Koo, Kyo-Won, Yu, Ha-Jin
In speaker verification systems, the utilization of short utterances presents a persistent challenge, leading to performance degradation primarily due to insufficient phonetic information to characterize the speakers. To overcome this obstacle, we pr
Externí odkaz:
http://arxiv.org/abs/2406.07103
Autor:
Zhang, Zhisheng, Huang, Pengyang
In recent years, the remarkable advancements in deep neural networks have brought tremendous convenience. However, the training process of a highly effective model necessitates a substantial quantity of samples, which brings huge potential threats, l
Externí odkaz:
http://arxiv.org/abs/2405.15655
Akademický článek
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Publikováno v:
Neural Computing and Applications 29 (2018) 637-651
Speaker Verification (SV) systems involve mainly two individual stages: feature extraction and classification. In this paper, we explore these two modules with the aim of improving the performance of a speaker verification system under noisy conditio
Externí odkaz:
http://arxiv.org/abs/2401.15018
The current routing protocol used in the internet backbone is based on manual configuration, making it susceptible to errors. To mitigate these configuration-related issues, it becomes imperative to validate the accuracy and convergence of the algori
Externí odkaz:
http://arxiv.org/abs/2402.08956