Credit Risk Decision Management System And Method Using Voice Analytics
First Claim
1. A voice analytic based predictive modeling system, comprising:
- a processor and a memory;
the processor configured to receive information from an entity and third party information about the entity;
the processor configured to receive voice recordings from a telephone call with the entity;
a voice analyzer component, executed by the processor, that processes the voice recordings of the entity to identify a plurality of features of the entity voice from the voice recordings and generate a plurality of voice feature pieces of data; and
a predictor component, executed by the processor, that generates an outcome of an event for the entity based on the voice features piece of data, the information from the entity and third party information about the entity.
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Accused Products
Abstract
A credit risk decision management system and method using voice analytics are disclosed. The voice analysis may be applied to speaker authentication and emotion detection. The system introduces use of voice analysis as a tool for credit assessment, fraud detection and a measure of customer satisfaction and return rate probability when lending to an individual or a group. Emotions in voice interactions during a credit granting process are shown to have high correlation with specific loan outcomes. This system may predicts lending outcomes that determine if a customer might face financial difficulty in near future and ascertains affordable credit limit for such a customer. Information carrying features are extracted from the customer'"'"'s voice files, and mathematical and logical transformations are performed on these features to get derived features. The data is then fed to a predictive model which captures the probability of default, intent to pay and fraudulent activity involved in a credit transaction. The voice prints can also be transcribed into text and text analytics can be performed on the data obtained to infer similar lending outcomes using Natural Language Processing and predictive modeling techniques.
46 Citations
46 Claims
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1. A voice analytic based predictive modeling system, comprising:
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a processor and a memory; the processor configured to receive information from an entity and third party information about the entity; the processor configured to receive voice recordings from a telephone call with the entity; a voice analyzer component, executed by the processor, that processes the voice recordings of the entity to identify a plurality of features of the entity voice from the voice recordings and generate a plurality of voice feature pieces of data; and a predictor component, executed by the processor, that generates an outcome of an event for the entity based on the voice features piece of data, the information from the entity and third party information about the entity. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A method for predictive modeling using voice analytics, the method comprising:
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receiving information from an entity and third party information about the entity; receiving voice recordings from a telephone call with the entity; processing, a voice analyzer component, the voice recordings of the entity to identify a plurality of features of the entity voice from the voice recordings and generate a plurality of voice feature pieces of data; and generating, by a predictor component, an outcome of an event for the entity based on the voice features piece of data, the information from the entity and third party information about the entity. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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Specification