Duration.
Eh , um ,   eh  This information eh , with eh , exactly time marks eh , for the overlapping zones  eh  overlapping zone , and eh , a speaker  a  a pure speech eh , eh , speaker zone. I mean , eh zones eh of eh speech of eh , one speaker without any  any eh , noise eh , any  any acoustic event eh that eh , eh , w eh , is not eh , speech , real speech. And , I need t true eh , silence for that , because my  my idea is to  to study the nnn  the   the set of parameters eh , what , eh , are more m more discriminant to eh , classify.
Right.
the overlapping zones in cooperation with the speech  eh zones. The idea is  to eh  to use  eh , I 'm not sure to  eh yet , but eh my idea is to use a  a cluster   eh algorithm or , nnn , a person strong in neural net algorithm to eh  to eh study what is the , eh , the property of the different feat eh feature , eh , to classify eh speech and overlapping eh speech.