Systems and methods for dynamic passphrases

A method for conducting a dynamic passphrase challenge to control access to a secure electronic resource, the method comprising:

• extracting, from a script-reading video data set, a data subset representing one or more facial or lip features of the individual corresponding to at least one phoneme or phoneme transition corresponding to a sequence of pre-identified phonemes or phoneme transitions, the script data structure having the sequence of pre-identified phonemes or phoneme transitions, the pre-identified phonemes or phoneme transitions including at least one overlapping phoneme or phoneme transition required to be spoken when speaking words of a response string;
• training, one or more baseline machine learning data model architectures, each baseline machine learning data model architecture of the one or more baseline machine learning data model architectures corresponding to a corresponding pre-identified phoneme or phoneme transition of the script data structure such that parameters of the baseline machine learning data model architectures are tuned based on the corresponding one or more facial or lip features;
• receiving an answer-reading video data set capturing a portion of or an entirety of an individual's face while the individual is speaking the words corresponding to the response string;
• and
• processing, the answer-reading video data set, using the one or more baseline machine learning data model architectures corresponding to the at least one overlapping phoneme or phoneme transition to determine an overall classification similarity score;
• wherein a provisioning of access to the secure electronic resource based on a comparison of the overall classification similarity score against a pre-defined threshold similarity score.

A non-transitory computer readable medium storing computer interpretable instructions, which when executed by a processor, cause the processor to perform a method for conducting a dynamic passphrase challenge to control access to a secure electronic resource, the method comprising:

• extracting, from a script-reading video data set, a data subset representing a one or more facial or lip features of the individual corresponding to at least one phoneme or phoneme transition corresponding to a sequence of pre-identified phonemes or phoneme transitions, the script data structure having the sequence of pre-identified phonemes or phoneme transitions, the pre-identified phonemes or phoneme transitions including at least one overlapping phoneme or phoneme transition required to be spoken when speaking words of a response string;
• training, one or more baseline machine learning data model architectures, each baseline machine learning data model architecture of the one or more baseline machine learning data model architectures corresponding to a corresponding pre-identified phoneme or phoneme transition of the script data structure such that parameters of the baseline machine learning data model architectures are tuned based on the corresponding one or more facial or lip features;
• receiving an answer-reading video data set capturing a portion of or an entirety of an individual's face while the individual is speaking the words corresponding to the response string;
• and
• processing, the answer-reading video data set, using the one or more baseline machine learning data model architectures corresponding to the at least one overlapping phoneme or phoneme transition to determine an overall classification similarity score;
• wherein a provisioning of access to the secure electronic resource occurs based on a comparison of the overall classification similarity score against a pre-defined threshold similarity score.