and roughly independent errors , and  it 's a good choice for
Mm - hmm. Mm - hmm. Yeah.
Uh. Yeah , that 's a good idea.
Yeah. Because , yeah , well , spectral subtraction is good and we could u we could use the fine structure to  to have a better estimate of the noise but  still there is this issue with spectral subtraction that it seems to increase the variance of  of  of