Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Oliveira, Jorge F."'
Autor:
Freitas, Nuno R., Vieira, Pedro M., Tinoco, Catarina, Anacleto, Sara, Oliveira, Jorge F., Vaz, A. Ismael F., Laguna, M. Pilar, Lima, Estêvão, Lima, Carlos S.
Publikováno v:
In Artificial Intelligence In Medicine January 2024 147
Autor:
Oliveira, Jorge F.
Publikováno v:
In AEUE - International Journal of Electronics and Communications December 2020 127
Autor:
Oliveira, Jorge F.1,2 jorge.oliveira@ipleiria.pt, Pedro, José C.2
Publikováno v:
Journal of Function Spaces & Applications. 2013, p1-11. 11p.
Autor:
Oliveira, Jorge F. jorge.oliveira@ipleiria.pt, Pedro, José C.
Publikováno v:
Journal of Applied Mathematics. 2012, p1-21. 21p.
Akademický článek
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This paper presents a method for extracting MFCC parameters from a normalised power spectrum density. The underlined spectral normalisation method is based on the fact that the speech regions with less energy need more robustness, since in these regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::396de618d7ee642e50fe264db85b27be
https://hdl.handle.net/1822/2047
https://hdl.handle.net/1822/2047
Blind source separation by independent component analysis applied to electroencephalographic signals
Independent Component Analysis (ICA) is a statistical based method, which goal is to find a linear transformation to apply to an observed multidimensional random vector such that its components become as statistically independent from each other as p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::2c90d1546c9475150c3d3c0cfb38915d
https://hdl.handle.net/1822/2048
https://hdl.handle.net/1822/2048
Autor:
Lima, C. S., Oliveira, Jorge F.
This paper is concerned to the noisy speech HMM modelling when the noise is additive, speech independent and the spectral analysis is based on sub-bands. The internal distributions of the noisy speech HMM’s were derived when Gaussian mixture densit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::3de1a59b8ca3fdfbd04de7ebe3fcd04d
https://hdl.handle.net/1822/2053
https://hdl.handle.net/1822/2053
Autor:
Lima, C. S., Oliveira, Jorge F.
The changing on peaks structure of the speech spectrum is perhaps the most important cause of degradation of speech recognition systems under adverse conditions. Another drawback concerned to the additive noise effect occurs on the flat spectral zone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::fd01d3860fadf5b6f271ae247bc9cf30
https://hdl.handle.net/1822/2054
https://hdl.handle.net/1822/2054
Akademický článek
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