An approach to speech ambiguities eliminating using semantically-acoustical analysis

Abstract

An approach to the problem of elimination of ambiguities in speech messages by application of semantically- acoustical analysis is presented in this paper. Authors propose the architecture of the intelligent system that implements this principle. According to this principle the direct transition from speaking to meaning of given phrase is possible with the help of digital signal processing techniques, as well as knowledge formalization methods using semantics networks (semantically- acoustical analysis). A prototype of intelligent system to resolve speech ambiguities of a certain type (homonyms and paronyms) based on the tools provided by the OSTIS technology and GUSLY signal processing framework has been implemented. The main advantages of the proposed solution in comparison to the standard automatic speech recognition systems and possible ways of further development for natural language understanding problem are also reported in this paper