pgut001@cs.auckland.ac.nz wrote: : I was talking to someone recently about the feasibilty of keyword-scanning : phone conversations.... My first "real" job in the computer industry was for a garage shop doing speech recognition. We did a demo system in 1977 for Rome Labs that did exactly what you're asking about: scanning a stream of continuous speech over a telephone line looking for key words. It was tolerably effective: I forget the success rate but it was above 90%. But we were never asked to go past the research prototype. We did it the "hard way" in that we were trying to solve the "talk to the computer" problem which is harder than the "look for something suspicious worth looking closer at" problem. I expect they were looking for something to cut down on their false positives and perhaps we weren't significantly better than what they were already doing. : "Discrete Utterance Speech Recognition without Time Alignment", John Shore : and David Burton, IEEE Trans.Information Theory, Vol.29, No.4 (July 1983), : p.473. : :This generates a feature vector every 10-30ms from input speech which is :compared to pre-generated reference sequences. It also has references to many :other papers covering the same area. When I worked in the field "discrete utterance" was the buzz phrase for talking with - pauses - between - each - word. Ecch. Our commercial systems at the time (late '70s) used discrete speech without time alignment since we could process 8 input channels simultaneously. Ahhh. The joys of microcoding for a 74S181 ALU. Rick. smith@sctc.com secure computing corporation