| CPC G10L 17/04 (2013.01) [G06F 21/32 (2013.01); G10L 17/12 (2013.01)] | 20 Claims |

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1. A computer-implemented method comprising:
generating, by a computer, one or more enrolled biometric-prints for an enrollee-user in an enrollee-record of a database, by applying one or more biometric recognition engines of a machine-learning architecture on enrollment biometric data for the enrollee-user;
receiving, by the computer, a first authentication request from a first provider server to authenticate a first inbound user, and a second authentication request from a second provider server to authenticate a second inbound user;
generating, by the computer, a first inbound biometric-print and a second inbound biometric-print corresponding to the first inbound user and the second inbound user, by applying the one or more biometric engines on corresponding first inbound contact data and second inbound contact data; and
transmitting, by the computer, a first result for a first computing service to the first provider server based upon a similarity between the first inbound biometric-print and an enrolled biometric-print of the one or more enrolled biometric-prints in the enrollee-record in accordance with a first biometric-print similarity threshold determined based on the first inbound contact data, and a second result for a second computing service to the second provider server based upon the similarity between the second inbound biometric-print and the enrolled biometric-print of the one or more enrolled biometric-prints in the enrollee-record in accordance with a second biometric-print similarity threshold determined based on the second inbound contact data.
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11. A system comprising:
a database comprising a non-transitory machine-readable storage configured to store a plurality of enrollee-records for a plurality of enrollee-users; and
a computer comprising a processor and in communication with the database, the computer configured to:
generate one or more enrolled biometric-prints for an enrollee-user in an enrollee-record of the database, by applying one or more biometric recognition engines of a machine-learning architecture on enrollment biometric data for the enrollee-user;
receive a first authentication request from a first provider server to authenticate a first inbound user, and a second authentication request from a second provider server to authenticate a second inbound user;
generate a first inbound biometric-print and a second inbound biometric-print corresponding to the first inbound user and the second inbound user, by applying the one or more biometric engines on corresponding first inbound contact data and second inbound contact data; and
transmit a first result for a first computing service to the first provider server based upon a similarity between the first inbound biometric-print and an enrolled biometric-print of the one or more enrolled biometric-prints in the enrollee-record in accordance with a first biometric-print similarity threshold determined based on the first inbound contact data, and a second result for a second computing service to the second provider server based upon the similarity between the second inbound biometric-print and the enrolled biometric-print of the one or more enrolled biometric-prints in the enrollee-record in accordance with a second biometric-print similarity threshold determined based on the second inbound contact data.
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