Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ahmed Kamil Hasan Al-Ali"'
Publikováno v:
IEEE Access, Vol 5, Pp 15400-15413 (2017)
Environmental noise and reverberation conditions severely degrade the performance of forensic speaker verification. Robust feature extraction plays an important role in improving forensic speaker verification performance. This paper investigates the
Externí odkaz:
https://doaj.org/article/edf28a535da04753bc43407e75191ecd
Colour image encryption based on hybrid bit-level scrambling, ciphering, and public key cryptography
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 12:1607-1619
This paper proposes an image encryption technique using three stages algorithms based on hyper-chaotic maps. In the first scenario, bit-level scrambling (BLS) using a 2D coupled chaotic map (2D-CCM) is used to encrypt the bits of the basic colour ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3301c26e455f5901c6b699599fe6cdfa
https://doi.org/10.11591/eei.v12i3.4728
https://doi.org/10.11591/eei.v12i3.4728
Autor:
Ahmed Kamil Hasan Al-Ali
Publikováno v:
International Journal of Intelligent Engineering and Systems. 16:154-162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a32dab9d9c11c092c8735e19ebf1d94
https://doi.org/10.22266/ijies2023.0228.14
https://doi.org/10.22266/ijies2023.0228.14
Publikováno v:
Evolutionary Intelligence. 14:1475-1494
Forensic speaker verification performance reduces significantly under high levels of noise and reverberation. Multiple channel speech enhancement algorithms, such as independent component analysis by entropy bound minimization (ICA-EBM), can be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8f3650650800390a9574d0582e2493c
https://doi.org/10.1007/s12065-020-00406-8
https://doi.org/10.1007/s12065-020-00406-8
Publikováno v:
IEEE Access, Vol 5, Pp 15400-15413 (2017)
© 2013 IEEE. Environmental noise and reverberation conditions severely degrade the performance of forensic speaker verification. Robust feature extraction plays an important role in improving forensic speaker verification performance. This paper inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f8d0e609e15c0d46ddcf1713be1465
https://ieeexplore.ieee.org/document/7984791/
https://ieeexplore.ieee.org/document/7984791/
Autor:
Ahmed Kamil Hasan Al-Ali
Publikováno v:
Ahmed Kamil Hasan Al-Ali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61431098c50715dfee7897d6332a62fa
https://doi.org/10.5204/thesis.eprints.130783
https://doi.org/10.5204/thesis.eprints.130783
Publikováno v:
ICSPCS
Forensic speaker verification systems show severe performance degradation in the presence of noise when the signal to noise ratio (SNR) is low. A possible solution to this problem is the use of multi-run independent component analysis (ICA) to reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6e4b4f32150da10526bfd40c083a048
https://doi.org/10.1109/icspcs.2017.8270505
https://doi.org/10.1109/icspcs.2017.8270505
Publikováno v:
ICSIPA
The robustness of speaker verification systems is often degraded in real forensic applications, which contain environmental noise and reverberation. Reverberation results in mismatched conditions between enrolment and test speech signals. In this wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04b452e8acc8cec07591a7195329579
https://doi.org/10.1109/icsipa.2017.8120650
https://doi.org/10.1109/icsipa.2017.8120650
Publikováno v:
ICSIPA
© 2017 IEEE. The performance of forensic speaker verification degrades severely in the presence of high levels of environmental noise and reverberation conditions. Multiple channel speech enhancement algorithms are a possible solution to reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8afcda684009325435910a3e05360427
https://hdl.handle.net/10453/127312
https://hdl.handle.net/10453/127312