0000
Written
1960
Addressed to
1965
Category
Technology

Two or three years ago, it appeared that automatic recognition of sizeable vocabularies would not be achieved for ten or fifteen years; that it would have to await much further, gradual accumulation of knowledge of acoustic, phonetic, linguistic, and psychological processes in speech communication. Now, however, many see a prospect of accelerating the acquisition of that knowledge with the aid of computer processing of speech signals, and not a few workers have the feeling that sophisticated computer programs will be able to perform well as speech-pattern recognizers even without the aid of much substantive knowledge of speech signals and processes. Putting those two considerations together brings the estimate of the time required to achieve practically significant speech recognition down to perhaps five years, the five years just mentioned.

J. C. R. Licklider

Man-Computer Symbiosis

Annotation

Licklider's 1960 paper is one of the founding documents of interactive computing, and nearly everything in it proved visionary — except the timelines. His five-year estimate for practical speech recognition was off by roughly half a century: IBM's 1962 Shoebox recognized sixteen words, Dragon NaturallySpeaking arrived in 1997 requiring pauses between each one, and genuinely fluent recognition waited for deep learning in the 2010s. The pattern — correct on the what, wrong on the when — became the defining signature of AI prediction.

What Actually Happened

Practical speech recognition did not arrive within five years. IBM's 1962 Shoebox recognized sixteen words. Dragon NaturallySpeaking launched in 1997 but required pauses between words. Genuinely fluent, large-vocabulary speech recognition did not become reliable until the deep-learning breakthroughs of the 2010s — roughly fifty years after Licklider's prediction, not five.

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