System and method for digital voice data processing and authentication

A computer program product for digital voice data processing and authentication, the computer program product comprising a non-transitory computer-readable medium comprising code causing a first apparatus to:

• receive a user interaction comprising a digital audio signal;
• capture a first audio segment and a second audio segment of the digital audio signal continuously, in real time, from a singular audio source, wherein the second audio segment is subsequent the first audio segment, wherein the first audio segment corresponds to a first instance of a word and the second audio segment corresponds to a second instance of the word, wherein a natural language processing engine identifies the first audio segment and the second audio segment as two instances of the same word from text of the first audio segment and the second audio segment, and wherein the natural language processing engine identifies word boundaries of the first audio segment and the second audio segment by tagging timestamps of the digital audio signal corresponding to the beginning and end of each word;
• plot the first audio segment and the second audio segment into corresponding first and second plots, wherein the first plot comprises a first curve comprising a first plurality of points, wherein the second plot comprises a second curve comprising a second plurality of points, and wherein a plot type of the first and second plots is a spectrogram;
• compare the first and second plots, wherein comparing comprises subtracting each point of the first plurality of points of the first curve from a corresponding point of the second plurality of points of the second curve at corresponding horizontal axis locations to form a difference plot;
• determine a quantity of outlier peaks, wherein the outlier peaks comprise peaks of the difference plot above an upper predetermined threshold or below a lower predetermined threshold;
• assign an artificial user probability to the user interaction, wherein the artificial user probability is low if the quantity of outlier peaks is greater than a predetermined outlier peak threshold;
• and
• display the artificial user probability on a user interface of an endpoint device.

A method for digital voice data processing and authentication, the method comprising:

• receiving a user interaction comprising a digital audio signal;
• capturing a first audio segment and a second audio segment of the digital audio signal continuously, in real time, from a singular audio source, wherein the second audio segment is subsequent the first audio segment, wherein the first audio segment corresponds to a first instance of a word and the second audio segment corresponds to a second instance of the word, wherein a natural language processing engine identifies the first audio segment and the second audio segment as two instances of the same word from text of the first audio segment and the second audio segment, and wherein the natural language processing engine identifies word boundaries of the first audio segment and the second audio segment by tagging timestamps of the digital audio signal corresponding to the beginning and end of each word;
• plotting the first audio segment and the second audio segment into corresponding first and second plots, wherein the first plot comprises a first curve comprising a first plurality of points, wherein the second plot comprises a second curve comprising a second plurality of points, and wherein a plot type of the first and second plots is a spectrogram;
• comparing the first and second plots, wherein comparing comprises subtracting each point of the first plurality of points of the first curve from a corresponding point of the second plurality of points of the second curve at corresponding horizontal axis locations to form a difference plot;
• determining a quantity of outlier peaks, wherein the outlier peaks comprise peaks of the difference plot above an upper predetermined threshold or below a lower predetermined threshold;
• assigning an artificial user probability to the user interaction, wherein the artificial user probability is low if the quantity of outlier peaks is greater than a predetermined outlier peak threshold;
• and
• displaying the artificial user probability on a user interface of an endpoint device.