Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Ito Nobutaka"'
Autor:
Ito Nobutaka
Publikováno v:
E3S Web of Conferences, Vol 187, p 01003 (2020)
Asia is one of the most productive agricultural regions in the world, however the quality control of agricultural food products should be severely and strictly managed from the view point of food security and safety due to the increase of food feedin
Externí odkaz:
https://doaj.org/article/8ef595c868b846159c1eb5de618f1c3c
Autor:
Ito, Nobutaka, Sugiyama, Masashi
Supervised learning is a mainstream approach to audio signal enhancement (SE) and requires parallel training data consisting of both noisy signals and the corresponding clean signals. Such data can only be synthesised and are mismatched with real dat
Externí odkaz:
http://arxiv.org/abs/2210.15143
This paper presents a computationally efficient approach to blind source separation (BSS) of audio signals, applicable even when there are more sources than microphones (i.e., the underdetermined case). When there are as many sources as microphones (
Externí odkaz:
http://arxiv.org/abs/2101.08563
Autor:
Ito, Nobutaka, Godsill, Simon
This paper proposes a novel particle filter for tracking time-varying states of multiple targets jointly from superpositional data, which depend on the sum of contributions of all targets. Many conventional tracking methods rely on preprocessing for
Externí odkaz:
http://arxiv.org/abs/2003.05778
Autor:
Ito, Nobutaka, Nakatani, Tomohiro
Here we propose FastFCA-AS, an accelerated algorithm for Full-rank spatial Covariance Analysis (FCA), which is a robust audio source separation method proposed by Duong et al. ["Under-determined reverberant audio source separation using a full-rank s
Externí odkaz:
http://arxiv.org/abs/1805.09498
A source separation method using a full-rank spatial covariance model has been proposed by Duong et al. ["Under-determined Reverberant Audio Source Separation Using a Full-rank Spatial Covariance Model," IEEE Trans. ASLP, vol. 18, no. 7, pp. 1830-184
Externí odkaz:
http://arxiv.org/abs/1805.06572
This paper reports the organization and results for the 2018 community-based Signal Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio and pursued the effort towards scaling up and making it easier to prototype audi
Externí odkaz:
http://arxiv.org/abs/1804.06267
Autor:
Manmai, Numchok, Balakrishnan, Deepanraj, Obey, Gotore, Ito, Nobutaka, Ramaraj, Rameshprabu, Unpaprom, Yuwalee, Velu, Gomathi
Publikováno v:
In Fuel 15 December 2022 330
Autor:
Tan, Shimeng, Narayanan, Mathiyazhagan, Thu Huong, Dinh Thi, Ito, Nobutaka, Unpaprom, Yuwalee, Pugazhendhi, Arivalagan, Lan Chi, Nguyen Thuy, Liu, Junang
Publikováno v:
In Environmental Research November 2022 214 Part 2
Publikováno v:
In Journal of Cleaner Production 2007 15(3):266-274