And that works O K , if you fil if you tune the filter parameters , if you tune  how long your median filter is and how high you 're looking for your thresholds.
Did you ever try running the filter before you pick a threshold ?
No. I certainly could though. But this was just I had the program mostly written already so it was easy to do. OK and then the other thing I did , was I took  Javier 's speaker - change detector  acoustic - change detector , and I implemented that with the close - talking mikes , and  unfortunately that 's not working real well , and it looks like it 's  the problem is  he does it in two passes , the first pass  is to find candidate places to do a break. And he does that using a neural net doing broad phone classification and he has the  the , uh  one of the phone classes is silence. And so the possible breaks are where silence starts and ends. And then he has a second pass which is a modeling  a Gaussian mixture model. Um looking for  uh  whether it improves or  or degrades to split at one of those particular places. And what looks like it 's happening is that the  even on the close - talking mike the broad phone class classifier 's doing a really bad job.
Who was it trained on ?