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.
well , if it 's higher than a certain threshold , I keep it to this threshold to still , uh , adapt , um , the mean when   if the utterance is , uh , long enough to  to continue to adapt after , like , one second
Mm - hmm. Mm - hmm.