Abstract
M.Com. (Informatics)
A certain degree of vulnerability exists in traditional knowledge-based identification
and authentication access control, as a result of password interception and social
engineering techniques. This vulnerability has warranted the exploration of additional
identification and authentication approaches such as physical token-based systems and
biometrics. Speaker recognition is one such biometric approach that is currently not
widely used due to its inherent technological challenges, as well as a scarcity of
comprehensive literature and complete open-source projects. This makes it challenging
for anyone who wishes to study, develop and improve upon speaker recognition for
identification and authentication.
In this dissertation, we condense some of the available speaker recognition literature in
a manner that would provide a comprehensive overall picture of speaker identification
and authentication to a wider range of interested audiences. A speaker recognition
solution in the form of an open, user-friendly software prototype environment is
presented, called SRIA (Speaker Recognition Identification Authentication). In SRIA,
real users may enrol and perform speaker identification and authentication tasks. SRIA
is intended as platform for speaker recognition understanding and further research and
development.