US 12,726,477 B1Granted

Audio authentication for digital telephony

AssigneeZoom Communications, Inc.

InventorsDerrick John Fitzgerald, David Chei Seong Yap

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Abstract

Techniques for audio authentication for digital telephony are disclosed. In an example method, a computing device receives a user voice sample. The computing device determines one or more user voice features from the user voice sample and generates a user voice model based on the one or more user voice features. Next, the computing device receives, from a client device, first authentication information including an authentication voice sample. The computing device again determines one or more authentication voice features from the authentication voice sample and generates an authentication voice model based on the one or more authentication voice features. The computing device then determines a difference between the user voice model and the authentication voice model. In response to the difference being less than a predetermined threshold, the computing device outputs, to the client device, an authentication grant.

Claims20

Dependent claims

A method, comprising:

receiving a user voice sample;
determining user voice features from the user voice sample;
determining that a number of user voice features exceeds a threshold number of features;
responsive to determining that the number of user voice features exceeds the threshold number of features, generating a user voice model based on the one or more user voice features;
caching the user voice model in an in-memory cache;
receiving, from a client device, first authentication information comprising an authentication voice sample;
determining one or more authentication voice features from the authentication voice sample;
generating an authentication voice model based on the one or more authentication voice features;
retrieving the user voice model from the in-memory cache;
determining a difference between the user voice model and the authentication voice model, comprising:
determining an embedded representation of the user voice sample and an embedded representation of the authentication voice sample, wherein the embedded representation of the user voice sample and the embedded representation of the authentication voice sample each comprise a multi-dimensional vector;
determining a metric characterizing a vector space relationship between the embedded representation of the user voice sample and the embedded representation of the authentication voice sample;
and
comparing the metric to a predetermined threshold that is mapped to a numerical probability that the user voice model does not differ from the authentication voice sample;
and
responsive to the difference being less than the predetermined threshold, outputting, to the client device, an authentication grant.

13 more elements

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations including:

receiving a user voice sample;
determining user voice features from the user voice sample;
determining that a number of user voice features exceeds a threshold number of features;
responsive to determining that the number of user voice features exceeds the threshold number of features, generating a user voice model based on the one or more user voice features;
caching the user voice model in an in-memory cache;
receiving, from a client device, first authentication information comprising an authentication voice sample;
determining one or more authentication voice features from the authentication voice sample;
generating an authentication voice model based on the one or more authentication voice features;
retrieving the user voice model from the in-memory cache;
determining a difference between the user voice model and the authentication voice model, comprising:
determining an embedded representation of the user voice sample and an embedded representation of the authentication voice sample, wherein the embedded representation of the user voice sample and the embedded representation of the authentication voice sample each comprise a multi-dimensional vector;
determining a metric characterizing a vector space relationship between the embedded representation of the user voice sample and the embedded representation of the authentication voice sample;
and
comparing the metric to a predetermined threshold that is mapped to a numerical probability that the user voice model does not differ from the authentication voice sample;
and
responsive to the difference being less than the predetermined threshold, outputting, to the client device, an authentication grant.

13 more elements

A system comprising:

one or more processors;
and
one or more computer-readable storage media storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations including:
receiving a user voice sample;
determining user voice features from the user voice sample;
determining that a number of user voice features exceeds a threshold number of features;
responsive to determining that the number of user voice features exceeds the threshold number of features, generating a user voice model based on the one or more user voice features;
caching the user voice model in an in-memory cache;
receiving, from a client device, first authentication information comprising an authentication voice sample;
determining one or more authentication voice features from the authentication voice sample;
generating an authentication voice model based on the one or more authentication voice features;
retrieving the user voice model from the in-memory cache;
determining a difference between the user voice model and the authentication voice model, comprising:
determining an embedded representation of the user voice sample and an embedded representation of the authentication voice sample, wherein the embedded representation of the user voice sample and the embedded representation of the authentication voice sample each comprise a multi-dimensional vector;
determining a metric characterizing a vector space relationship between the embedded representation of the user voice sample and the embedded representation of the authentication voice sample;
and
comparing the metric to a predetermined threshold that is based on a numerical probability that the user voice model does not differ from the authentication voice sample;
and
responsive to the difference being less than the predetermined threshold, outputting, to the client device, an authentication grant.

16 more elements

Dependencies are inferred from the claim text.