Local binary patterns as features for speaker recognition

Poster Session 3: Speaker Recognition II

Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-Francois Bonastre

so a high everyone

are all be presenting local binary patterns as features for speaker recognition

so basically we are trying to replace the classical delta and that's of the times

as you know they are useful to describe the temporal evolution of frames but here

we're using a concept used in face recognition

it's called a local many buttons and it's useful to describe the whole neighbourhood

related to one pixel

so it has been used in this

not exactly speaker recognition but in i by spoofing and it has been a proved

to be quite efficient

i guess the artificial voice the extra

so we're try

we're using it for speaker recognition and along with mfccs and where proving that

it's

more efficient and mfcc plus data but that senators thank you