Mm - hmm. Um  Using these  these events , um , you know , we can  we can perform these  these , uh , cheating experiments. See how  how  how good they are , um , in , um  in terms of phoneme recognition or word recognition. And , um  and then from that point on , I would , uh , s design robust event detectors , um , in a similar , um , wa spirit that Saul has done w uh , with his graphical models , and this  this probabilistic AND - OR model that he uses. Um , eh , try to extend it to , um  to account for other  other phenomena like , um , CMR co - modulation release. And , um  and maybe also investigate ways to  to modify the structure of these models , um , in a data - driven way , uh , similar to the way that , uh , Jeff  Jeff , uh , Bilmes did his work. Um , and while I 'm  I 'm doing these , um , event detectors , you know , I can ma mea measure my progress by comparing , um , the error rates in clean and noisy conditions to something like , uh , neural nets. Um , and  So  so , once we have these  these , uh , event detectors , um , we could put them together and  and feed the outputs of the event detectors into  into the SRI , um , HMM  HMM system , and , um  and test it on  on Switchboard or , um , maybe even Aurora stuff. And , that 's pretty much the  the big picture of  of um , the plan.
By the way , um , there 's , uh , a couple people who are gonna be here  I forget if I already told you this , but , a couple people who are gonna be here for six months.
Mm - hmm.
Uh  uh , there 's a Professor Kollmeier , uh , from Germany who 's , uh , uh , quite big in the , uh , hearing - aid signal - processing area and , um , Michael Kleinschmidt , who 's worked with him , who also looks at  auditory properties inspired by various , uh , brain function things.