Multi-dimensional voice quality analysis to detect fraud

A method of detecting fraud using multi-dimensional voice analysis, comprising:

• receiving, from a telecommunications system and at a voice analysis system, an audio stream associated with a user;
• providing, by the voice analysis system, the audio stream to a machine learning model in order to receive a plurality of indicators associated with the audio stream, wherein the plurality of indicators are associated with a pitch of the user, a tone of the user, a speaking rate of the user, an emotional state of the user, or a vocabulary of the user;
• estimating, by the voice analysis system, whether the audio stream is associated with fraud based on the plurality of indicators;
• and
• transmitting, from the voice analysis system and to an administrator device, an indication of whether the audio stream is associated with fraud.

A non-transitory computer-readable medium storing a set of instructions for detecting fraud using multi-dimensional voice analysis, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• transmit, to a voice analysis system, a request to assess an audio stream associated with a user;
• receive, from the voice analysis system, a plurality of indicators associated with the audio stream, wherein the plurality of indicators correspond to a plurality of dimensions of a voice profile associated with the user;
• transmit a request for fraud prevention instructions in response to the plurality of indicators;
• and
• receive the fraud prevention instructions in response to the request for the fraud prevention instructions.