Mm - hmm. Um. Yeah. I , um , also implemented a sp um  spectral whitening idea which is in the , um , Ericsson proposal. Uh , the idea is just to  um , flatten the log , uh , spectrum , um , and to flatten it more if the  the probability of silence is higher. So in this way , you can also reduce  somewhat reduce the musical noise and you reduce the variability if you have different noise shapes , because the  the spectrum becomes more flat in the silence portions. Um. Yeah. With this , no improvement , uh , but there are a lot of parameters that we can play with and , um  Actually , this  this could be seen as a soft version of the frame dropping because , um , you could just put the threshold and say that " below the threshold , I will flatten  comp completely flatten the  the spectrum ". And above this threshold , uh , keep the same spectrum. So it would be like frame dropping , because during the silence portions which are below the threshold of voice activity probability ,  uh , w you would have some kind of dummy frame which is a perfectly flat spectrum. And this , uh , whitening is something that 's more soft because , um , you whiten  you just , uh , have a function  the whitening is a function of the speech probability , so it 's not a hard decision.
Mm - hmm.
Um , so I think maybe it can be used together with frame dropping and when we are not sure about if it 's speech or silence , well , maybe it has something do with this.
It 's interesting. I mean , um , you know , in  in JRASTA we were essentially adding in , uh , white  uh , white noise dependent on our estimate of the noise.