FIELD: computer technology.
SUBSTANCE: processing of data from incoming audio calls to classify the presence of fraudulent activities. The claimed effect of the invention is achieved by a computer-implemented method of analysing the dialogue during audio calls to detect fraudulent activity, powered by a processor and containing the following steps: receive an incoming audio stream coming from the calling party; process the incoming audio stream using at least one machine-learning model, which includes: converting the incoming audio stream into a vector form; comparing the vector form of the audio stream with previously stored vectors characterizing fraudulent activity; transcribing the audio stream to analyse the dialogue of the calling party for at least the semantic composition of the information and the pattern of the dialogue; classifying the incoming audio stream based on the processing.
EFFECT: increased efficiency and accuracy of recognizing fraudulent activity in incoming audio calls due to the combined analysis of the audio stream and the semantics of the dialogue pattern.
15 cl, 5 dwg
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Authors
Dates
2023-02-28—Published
2022-02-16—Filed