but i and i'm looking at automatic accent recognition in the context of forensic applications
so forensic speech scientist have access to use a speaker recognition technology so you assess
multiple recordings and to see how likely it is that the speech in these recordings
were produced by the same speaker
other kinds of cases i one might be interested in the speech community and then
nine speaker or hunting speakers belonged c and i'm investigating whether we can apply automatic
accent recognition c and this kind of problem
so i'm
a one step towards doing that and this that i'm taking with the place to
do that is and see you investigate whether an automatic accent recognition technology can work
on and while i'm having geographically proximate accent
and the assumption here is that and that's a greater degree of similarity between these
different accents eh i'm evaluating five different automatic accent recognition systems
an eight corpus or else
for accents
and
which is from the i subcorpus
and i've got before locations and within their use pads with only got ten miles
sitting between like
stereo we do next
to find differences between these accent variety
and
but we expect us differences and well just high degree of similarity study i'm assessing
how sensitive and different automatic accent recognition systems are
a combination of text-dependent in text-independent systems and the how robust these things can be
that this problem features that's challenges these systems in
in different steps
thank you