It is relatively easy for computers to speak. A computer
that says “please” and “thank you” in the right places is no miracle of
science, but recognizing the words that make up normal, continuous human speech
is another matter. Not until now have computers been programmed to react to a
range of spoken commands. Until recently it was thought that computers would
have to be programmed to the accent and speech habits of each user, and only
then would be able to respond accurately to their master’s or mistress’s voice.
Now rapid progress is being made with systems programmed to adapt easily to
each new speaker.
The IBM Tangora system, under development at the end of
the 1980s, was claimed to recognize a spoken vocabulary of 20,000 words with 95
percent accuracy. The system includes a processor that can make informed
guesses as to what is a likely sentence. The system has been programmed not
only with grammatical rules, but also with an analysis of a vast quantity of
office correspondence. On the basis of this information, the machine can
calculate the probability of one particular word following another.
Statistical probability is necessary for computers to
interpret not only speech but also visual data. Security systems can
distinguish between faces they have been taught to recognize, but never has a
computer been able to match a human’s ability to make sense of a
three-dimensional scene by identifying all objects in it.
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