Speech diagnostics research in the aspect of particular models of language units in speech

Abstract

The topic presented in this article is quite relevant. The widespread introduction of spontaneous speech recognition technologies makes it possible to improve the oral speech skills of specialists in various fields of knowledge.

The article considers the main problems of modeling as a method of scientific research in the modern world, describes the prospects for its development and features of its use in linguistics. A scheme for creating an algorithm for recognizing spontaneous speech in the aspect of language communication, taking into account the characteristics of the speaker is presented.

The typology of linguistic models distinguished by functional characteristics is given and characterized. A model of speech communication is considered, where the diagnosis of various aspects of speech activity is necessary for the correct and accurate organization of work on the recognition of spontaneous oral speech.

The authors intend to apply the method of verbal communication to improve the characteristics of recognition of spontaneous oral speech from a position related to particular models of linguistic units: lexical, semantic, morphological.

The work of this method is based on structural - linguistic modeling, in which the model is constructed from the linguistic representation of the initial information and the rules for its transformation.

The ultimate goal of the proposed model is the formation of a spontaneous speech recognition process in the context of linguistic communication. This method of speech communication implies further improvement of the characteristics of spontaneous speech recognition from a position associated with particular models of linguistic units.