So , the  the different  the c the  the advantage of combining two things is mainly coming from the signal subspace approach doesn't work very well if the SNR is very bad. It 's  it works very poorly with the poor SNR conditions , and in colored noise.
I see. So essentially you could do simple spectral subtraction , followed by a KL transform , followed by a
Wiener filtering. It 's a  it 's a cascade of two s
Wiener filter. Yeah , in general , you don't  that 's right you don't wanna othorg orthogonalize if the things are noisy. Actually. Um , that was something that uh , Herve and I were talking about with um , the multi - band stuff , that if you 're converting things to from uh , bands , groups of bands into cepstral coef you know , local sort of local cepstral coefficients that it 's not that great to do it if it 's noisy.