A relatively new area of research in centering on the phonetic encoding of information. This paper deals with the possible computer applications of the Sound Approach English phonetic alphabet. The authors review some preliminary research into a few of the more promising approaches to the application of the processes of machine learning to this phonetic alphabet for computer spell-checking, computer speech recognition etc. Applying mathematical approaches to the development of a data-based phonetic spelling recognizer, and speech recognition technology used for language pronunciation training in which the speech recognizer allows a large margin of pronunciation accuracy, the authors delineate the parameters of the current research, and point the direction of both the continuation of the current project and future studies.
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