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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Browsing publications by Musab Al-Kaltakchi

Newcastle AuthorsTitleYearFull text
Musab Al-Kaltakchi
Dr Wai Lok Woo
Emeritus Professor Satnam Dlay
Professor Jonathon Chambers
Multi-dimensional I-vector closed set speaker identification based on an extreme learning machine with and without fusion technologies2018
Raid AL-NIMA
Musab Al-Kaltakchi
Saadoon Al-Sumaidaee
Emeritus Professor Satnam Dlay
Dr Wai Lok Woo
et al.
Personal verification based on multi-spectral finger texture lighting images2018
Musab Al-Kaltakchi
Dr Wai Lok Woo
Emeritus Professor Satnam Dlay
Professor Jonathon Chambers
Comparison of I-vector and GMM-UBM approaches to speaker identification with TIMIT and NIST 2008 databases in challenging environments2017
Musab Al-Kaltakchi
Dr Wai Lok Woo
Emeritus Professor Satnam Dlay
Professor Jonathon Chambers
Evaluation of a speaker identification system with and without fusion using three databases in the presence of noise and handset effects2017
Raid AL-NIMA
Mohammed Abdullah
Musab Al-Kaltakchi
Emeritus Professor Satnam Dlay
Dr Wai Lok Woo
et al.
Finger Texture Biometric Verification Exploiting Multi-scale Sobel Angles Local Binary Pattern Features and Score-based Fusion2017
Musab Al-Kaltakchi
Dr Wai Lok Woo
Emeritus Professor Satnam Dlay
Professor Jonathon Chambers
Speaker identification evaluation based on the speech biometric and i-vector model using the TIMIT and NTIMIT databases2017
Musab Al-Kaltakchi
Dr Wai Lok Woo
Emeritus Professor Satnam Dlay
Professor Jonathon Chambers
Study of fusion strategies and exploiting the combination of MFCC and PNCC features for robust biometric speaker identification2016