Automatic Speech Recognition Procedures

Abstract
This paper is concerned with the transformation of the varying acoustical parameters of speech to a discrete code to form the printed output of an automatic speech recognizer. The development of general automatic speech recognition procedures requires a definition of the linguistic code to be transcribed, and a statement of the dialectal and other conditions under which the recognition is to be achieved. Essential procedures in automatic speech recognition include: the analysis of the input speech wave into a series of basic acoustical parameters in frequency; the representation of the normalized parameters by a set of phoneme and prosodeme candidates by reference to stored linguistic information; and the print-out into words separated by spaces and grouped by means of a set of punctuation marks. The possibility is considered of employing values of conventional spelling and punctuation in the automatic representation of spoken American English.

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