Yeah , OK. Um , so for the past ,  uh , week an or two , I 've been just writing my , uh , formal thesis proposal. Um , so I 'm taking  this qualifier exam that 's coming up in two weeks. And I  I finish writing a proposal and submit it to the committee. Um. And uh , should I  should I explain , uh , more about what  what I 'm proposing to do , and s and stuff ?
Yes , briefly.
Yeah briefly.
OK. Um , so briefly ,  I 'm proposing to do a n a new p approach to speech recognition using um , a combination of , uh , multi - band ideas and ideas , um ,    about the uh , acoustic phonec phonetic approach to speech recognition. Um , so I will be using  these graphical models that  um , that implement the multi - band approach  to recognize a set of intermediate categories that might involve , uh , things like phonetic features  or other  other f feature things that are more closely related to the acoustic signal itself. Um , and the hope in all of this is that by going multi - band and by going into these ,  um intermediate classifications ,  that we can get a system that 's more robust to  to unseen noises , and situations like that. Um , and so , some of the research issues involved in this are ,  um ,   one , what kind of intermediate categories do we need to classify ? Um , another one is  um , what  what other types of structures in these multi - band graphical models should we consider in order to um , combine evidence from  the sub - bands ? And , uh , the third one is how do we  how do we merge all the , uh , information from the individual uh , multi - band classifiers to come up with word  word recognition or  or phone recognition things. Um , so basically that 's  that 's what I 've been doing. And ,