Items where Salford Author is "Al-Noori, Mr AHY"
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Number of items: 4.
Book Section
Al-Noori, AHY, Duncan, PJ and Li, FF  ORCID: https://orcid.org/0000-0001-9053-963X
2017,
'Training "on the fly" to improve the performance of speaker recognition in noisy environments'
, in:
Proceedings: 2017 AES International Conference on Audio Forensics
, Audio Engineering Society (AES).
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Conference or Workshop Item
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Al-Noori, AHY, Li, FF ORCID: https://orcid.org/0000-0001-9053-963X and Duncan, PJ
2016,
Robustness of speaker recognition from noisy speech samples and mismatched languages
, in: 140th Convention-AES, 4-7 June 2016, Paris.
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![[img]](/style/images/fileicons/application_msword.png)
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Book
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Kassim, ME, Kausar, M, Al-Shammari, S, Khan, NA, Alsahlani, A ORCID: https://orcid.org/0000-0002-1675-5876, Mohammed, R, Carter, L, Barrow, P, Sharma, N ORCID: https://orcid.org/0000-0003-3829-3251, Elmuntser, A, Silva, HCE, Majeed, AA, Al Lahham, A, Sudarsono, AS, Alkarawi, KAY ORCID: https://orcid.org/0000-0001-9275-6902, Mohammed, DY, Al-Noori, AHY, Fakhrudeen, A ORCID: https://orcid.org/0000-0001-8075-3341, Alshaheen, HSS, Egena, O, Mahmood, AMM, Odum, R, Hussein, A, Karpinski, Hugo, Al-Ani, A and Nassrullah, ZFA
2016,
Proceedings of the CSE 2016 Annual PGR Symposium (CSE-PGSym 16)
, University of Salford, Salford, UK.
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Thesis
| Al-Noori, AHY 2017, Robust speaker recognition in presence of non-trivial environmental noise (toward greater biometric security) , PhD thesis, University of Salford. |
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