The report is devoted to the problem of using
formalized contextual information for the semantic analysis
of voice messages in conversational systems with a speech
interface. The paper proposes an approach based on several
fundamental principles: the transition from the acoustic
pattern to the semantic representation bypassing a separate
stage of textual presentation of information, saving and
processing contextual information at all levels in a single
knowledge base, transferring the linguistic processing stage
to the semantic analysis block (which allows to take into
account not only statistical but also semantic links at this
level), of applying feedback from the semantic level to the
lower level to adjust the result of links work. To implement
the approach, the original signal processing technique based
on instantaneous harmonic analysis, convolutional neural
networks for solving the classification problem, as well as
the capabilities of the OSTIS methodology and technology
were used
