Hmm. OK. Y you 're  you were saying before  ?
Uh. Yeah. So , this noise , um  Yeah. The MSG  Um. Mmm. There is something  perhaps , I could spend some days to look at this thing , cuz it seems that when we train networks on  let 's say , on TIMIT with MSG features , they  they look as good as networks trained on PLP. But , um , when they are used on  on the SpeechDat - Car data , it 's not the case  oh , well. The MSG features are much worse , and so maybe they 're , um , less  more sensitive to different recording conditions , or  Shou
Shouldn't be. They should be less so.
Yeah. But