marianne the representing the school of and electronic electrical and computer engineering this afternoon and

the title of head tool it's

towards better automated for systems

modeling accents for automatic

two recognition

i want you to remember all those times you had to use an automated phone

system

how was your experience how did you feel

a bit you feel frustrated by don't number of times you have to repeat which

is that older an over again

even then you might have been transferred to the wrong department

but no that's is over you have to wait and then long q listening to

a web had to solve and a voice that

you're called is extremely important to us ulysses us assume that the next agencies available

despite all this stuff estimation that we go through using these speech enabled automated phone

systems rather than the traditional types to one

the save an average cost and set up to three million pounds manually

by two thousand and seventeen this industry could be more up to two billion pounds

after all there seems to be no way to avoid you it's speech enabled voice

jails

but why and these systems understandable be stated

and they are not that clever human

they cannot adapt then you speakers back then

in fact

a few months ago you mean intensity con still had to stand eleven million pounds

an automated phone system

that we couldn't work to be the local accent

the goal of my phd just all these you mean and i can't robust automatic

speech recognition system

so

i have this massive database of recorded speech from people be different regional accent

then an unknown speaker talks to my system it recognises their accent it then selects

the data from a there is speakers with similar accent in order to create a

more personalised model out there is speech

using the is really improve the performance of my system incredibly

in fact

the error rate will be reduced by up to fifty path and for scientific contact

them

such as

lexington

you can't result of this is that customers

we have more productive time to use during their day instead of a tuning call

center cues and how companies

thus have cu were number of angry customers

in the next page of my clear i would like to address the issue space

by my now ready to fight as children elderly people with the speech this so

the thank you