Mm - hmm. And. Yeah.
Carmen , did you  do you have something else to add ? We  you haven't talked too much , and
D I begin to work with the Italian database to  nnn , to  with the f front - end and with the HTK program and the @ @. And I trained eh , with the Spanish two neural network with PLP and with LogRASTA PLP. I don't know exactly what is better if  if LogRASTA or JRASTA.
Well , um , JRASTA has the potential to do better , but it doesn't always. It 's  i i JRASTA is more complicated. It 's  it 's , uh  instead of doing RASTA with a log , you 're doing RASTA with a log - like function that varies depending on a J parameter , uh , which is supposed to be sensitive to the amount of noise there is. So , it 's sort of like the right transformation to do the filtering in , is dependent on how much noise there is.