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Right. Well , I was , um , I think one of the perplexing problems is , um , for a while I was thinking that I had to come up with a complete set of intermediate features  in intermediate categories to  to classify right away. But what I 'm thinking now is , I would start with  with a reasonable set. Something  something like , um , um  like , uh , re regular phonetic features , just to  just to start off that way. And do some phone recognition. Um , build a system that , uh , classifies these , um  these feat uh , these intermediate categories using , uh , multi - band techniques. Combine them and do phon phoneme recognition. Look at  then I would look at the errors produced in the phoneme recognition and say , OK , well , I could probably reduce the errors if I included this extra feature or this extra intermediate category. That would  that would reduce certain confusions over other confusions. And then  and then  reiterate. Um , build the intermediate classifiers. Uh , do phoneme recognition. Look at the errors. And then postulate new  or remove , um , intermediate categories. And then do it again.
So you 're gonna use TIMIT ?