Yeah. Um , but , u uh , yes. No , it is interesting. And the other thing is , I mean , there 's two sides to these really small , uh , gradations in performance. Um , I mean , on the one hand in a practical system if something is , uh , four point four percent error , four point one percent error , people won't really tell  be able to tell the difference. On the other hand , when you 're doing , uh , research , you may , eh  you might find that the way that you build up a change from a ninety - five percent accurate system to a ninety - eight percent accurate system is through ten or twelve little things that you do that each are point three percent. So  so the  they  they  it 's  I don't mean to say that they 're  they 're irrelevant. Uh , they are relevant. But , um ,  i for a demo , you won't see it.
Mm - hmm. Right. OK.
Yeah.
And , um , Let 's  l let 's see. Um , OK. And then there 's um , another thing I wanna start looking at , um ,  wi is , um , the choice of the analysis window length. So I 've just been using two seconds just because that 's what Carlos did before. Uh , I wrote to him asking about he chose the two seconds. And it seemed like he chose it a bit informally. So , um , with the  with the HTK set - up I should be able to do some experiments , on just varying that length , say between one and three seconds , in a few different reverberation conditions , um , say this room and also a few of the artificial impulse responses we have for reverberation , just , um , making some plots and seeing how they look. And , um , so , with the  the sampling rate I was using , one second or two seconds or four seconds is at a power of two um , number of samples and , um , I 'll  I 'll jus f for the ones in between I guess I 'll just zero - pad.