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


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


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