And  And I have to  because ,  in general the pitch tracker , doesn't work   very well and
Bad. Right. But , you know , as a feature , it might be OK. So , we don't know.
Yeah. Yeah. This  this is  And  th the idea is to  to , eh , to obtain , eh ,  for example , eh ,   eh diff eh , eh , different  well , no , a great number of eh FEC for example , eh ,  eh , twenty - five , eh , thirty  thirty parameters , eh , for  for each one. And in a first eh , nnn , step in the investi in the research in eh , my idea is try to , eh , to prove , what is the performance of the difference parameter , eh  to classify  the different , eh , what is the  the  the  the front - end approach to classify eh , the different , eh , frames of each class  eh and what is the  the , nnn , nnn , nnn , eh , what is the , the error  eh , of the data
Supervised clustering. Mm - hmm.