yeah , well I  tried this mean subtraction method.
Yeah.
Um. Due to Avendano ,  I 'm taking s um  six seconds of speech , um  I 'm using two second  FFT analysis frames ,  stepped by a half second so it 's a quarter length step and I   I take that frame and four f the four  I take  Sorry , I take the current frame and the four past frames and the  four future frames and that adds up to six seconds of speech. And I calculate um  the spectral mean ,  of the log magnitude spectrum  over that N. I use that to normalize the s the current center frame  by mean subtraction. And I then  then I move to the next frame and I   I do it again. Well , actually I calculate all the means first and then I do the subtraction. And um  the  I tried that with HDK , the Aurora setup of HDK training on clean TI - digits , and um  it  it helped um in a phony reverberation case um  where I just used the simulated impulse response um  the error rate went from something like eighty it was from something like eighteen percent  to um four percent. And on meeting rec recorder far mike digits , mike  on channel F , it went from um   forty - one percent error to eight percent error.
On  on the real data , not with artificial reverb ?