There is a couple pieces to it. There 's a spectral subtraction style piece  it was basically , you know , Wiener filtering. And then  then there was some p some modification of the cepstral parameters , where they
Yeah , actually , something that 's close to cepstral mean subtraction. But , uh , the way the mean is adapted  um , it 's signal dependent. I 'm  I 'm , uh So , basically , the mean is adapted during speech and not during silence.
Yeah.
But it 's very close to  to cepstral mean subtraction.