An 86,000-word recognizer based on phonemic models

Authors:
M. Lennig;V. Gupta;P. Kenny;P. Mermelstein;D. O'Shaughnessy
Affiliations:
-;-;-;-;-
Venue:
HLT '90 Proceedings of the workshop on Speech and Natural Language
Year:
1990

Citing 2
Cited 2

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Abstract

We have developed an algorithm for the automatic conversion of dictated English sentences to written text, with essentially no restriction on the nature of the material dictated. We require that speakers undergo a short training session so that the system can adapt to their individual speaking characteristics and that they leave brief pauses between words. We have tested our algorithm extensively on an 86,000 word vocabulary (the largest of any such system in the world) using nine speakers and obtained word recognition rates on the order of 93%.