Patent ID: 11967307
Assignee: ORACLE INTERNATIONAL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A system comprising:
at least one device including a hardware processor;
the system being configured to perform operations comprising:
training a machine learning model to determine whether a received voice communication is genuine at least by:
obtaining training data sets comprising historical data, each training data set comprising
(a) vocal attributes of one or more received voice communications and (b) a respective label indicating whether the one or more received voice communications was genuine;

training the machine learning model based on the training data sets;

receiving a first target conversation comprising a first received voice communication signal;
applying a first neural network to the first received voice communication signal, to identify a first set of vocal attributes of the first target conversation;
applying a second neural network to the first set of vocal attributes of the first target conversation, to identify rates of changes of the first set of vocal attributes of the first target conversation;
applying the trained machine learning model to (a) the first set of vocal attributes of the first target conversation and (b) the rates of changes of the first set of vocal attributes of the first target conversation, to classify the first target conversation as genuine;
receiving a second target conversation comprising a second received voice communication signal; and
applying the trained machine learning model to the second target conversation to classify the second target conversation as not genuine based on a second set of vocal attributes corresponding to the second received voice communication signal.