So when you look at the trajectory of C - one , it 's  has a strange shape and I was expecting th the s that these two mean helps , especially because of the  the strange C - ze C - one shape , uh , which can  like , yo you can have , um , a trajectory for the speech and then when you are in the silence it goes somewhere , but if the noise is different it goes somewhere else.
Oh.
So which would mean that if we estimate the mean based on all the signal , even though we have frame dropping , but we don't frame ev uh , drop everything , but  uh , this can  hurts the estimation of the mean for speech , and  Mmm.  But I still have to investigate further , I think. Um , a third thing is , um ,  that instead of t having a fixed time constant , I try to have a time constant that 's smaller at the beginning of the utterances to adapt more quickly to the r something that 's closer to the right mean. T t um  Yeah. And then this time constant increases and I have a threshold that
Mm - hmm.