hello everyone so

this looks we but in this presentation i'm just presenting how to use i-vectors for

speech activity detection

so actually this is the what was done in the context of the nist open-set

channels that use actually very tough later that probably many of your nose

and all right speaker on rats data

so the proposed technique is actually to make i-vectors work in the scenario so what

i did is that i first cluster the data in it to unsupervised manner one

of them is based on what they should clustering mainly a k-means plus gmm clustering

and the other one is actually based on

more accurately clustering after some kind of segmentation

and the so then the output of this clusters idea is i can classify them

using different kind of a classifiers i tried the i-vector extract i-vectors of agenda and

and the results are quite the promising

probably bit complex system but the output of this l this class that can be

used not only for speech detection but also for other tasks like their decision about

or what you event detection or and so please the zero by posted to your

interest like