Computer-implemented detection of anomalous telephone calls
AssigneeCalltic NV
InventorsFilip Hoste, Guy Van Der Meeren, Brecht Desplanques, Kris Demuynck
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AssigneeCalltic NV
InventorsFilip Hoste, Guy Van Der Meeren, Brecht Desplanques, Kris Demuynck
Estimating the term…
Computer-implemented detection of anomalous telephone calls, for example detection of interconnect bypass fraud, is disclosed. A telephone call associated with user devices is analyzed remote from the user devices. A first set of multiple features, for example Mel Frequency Cepstral Coefficients, is derived from a call audio stream. The first set is converted to an embedding vector, for example via a model based on a Universal Background Model comprising a Gaussian Mixture Model, which model is preferably configured based on a training plurality of first sets of multiple features derived form a corresponding training plurality of audio streams. Occurrence, or probability of occurrence, of an anomalous telephone call is determined based on the embedding vector, for example via a back-end classifier, such as a Gaussian Backend Model, which classifier is preferably configured based on labels associated with the training plurality of audio streams.
A computer-implemented method for detecting an anomalous telephone call, comprising the step of analyzing a telephone call associated with at least two user devices, wherein the telephone call is analyzed remote from the at least two user devices, wherein the analysis of the telephone call comprises the steps of:
Dependencies are inferred from the claim text.