Abstract
This paper proposes a concept of a new approach to the development of speech recognition systems using multi-agent neurocognitive modeling. The fundamental foundations of these developments are based on the theory of cognitive psychology and neuroscience, and advances in computer science. The purpose of this work is the development of general theoretical principles of sound image recognition by an intelligent robot and, as the sequence, the development of a universal system of automatic speech recognition, resistant to speech variability, not only with respect to the individual characteristics of the speaker, but also with respect to the diversity of accents. Based on the analysis of experimental data obtained from behavioral studies, as well as theoretical model ideas about the mechanisms of speech recognition from the point of view of psycholinguistic knowledge, an algorithm resistant to variety of accents for machine learning with imitation of the formation of a person’s phonemic hearing has been developed.
Highlights
The acoustic-phonetic approach, which was developed by Hemdal and Hughes in 1967, was the first attempt to formalize the processes of speech perception [1]
That is, decoding a message is possible based on research data on phonetics and linguistics
An attempt is made to determine a significant word from a sequence of phonetic labels obtained as a result of segmentation and markup
Summary
The acoustic-phonetic approach, which was developed by Hemdal and Hughes in 1967, was the first attempt to formalize the processes of speech perception [1]. An attempt is made to determine a significant word (or sequence) from a sequence of phonetic labels obtained as a result of segmentation and markup. Linguistic restrictions (according to the dictionary, syntactic or semantic rules) corresponding to the task are used to evaluate the meaning of the word. The acoustic-phonetic approach was not used in commercial applications, but a deep analysis of the subject area certainly stimulated the development of this field of knowledge
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