System and method for speaker recognition on mobile devices

Patent metadata

Field	Value
Publication number	US-10749864-B2
Application number	US-201815879797-A
Country	US
Kind code	B2
Filing date	Jan 25, 2018
Priority date	Feb 24, 2012
Publication date	Aug 18, 2020
Grant date	Aug 18, 2020

Abstract

A speaker recognition system for authenticating a mobile device user includes an enrollment and learning software module, a voice biometric authentication software module, and a secure software application. Upon request by a user of the mobile device, the enrollment and learning software module displays text prompts to the user, receives speech utterances from the user, and produces a voice biometric print. The enrollment and training software module determines when a voice biometric print has met at least a quality threshold before storing it on the mobile device. The secure software application prompts a user requiring authentication to repeat an utterance based at least on an attribute of a selected voice biometric print, receives a corresponding utterance, requests the voice biometric authentication software module to verify the identity of the second user using the utterance, and, if the user is authenticated, imports the voice biometric print.

First claim

What is claimed is:

1. A method of operation of a speaker recognition system, comprising:
receiving, at an input of the speaker recognition system, at least one new voice sample from a user for speaker authentication;
determining a first offset value from scores assigned to previously received voice samples from said user, wherein the first offset value comprises an average of respective offsets of said scores from a mean score value;
determining a second offset value from at least one score assigned to the at least one new voice sample from said user;
determining whether a difference between said second offset value and said first offset value exceeds a proximity threshold; and
if the difference between said second offset value and said first offset value exceeds the proximity threshold, determining that further system training is required, and indicating to the user that said further system training is required.

2. A method as claimed in claim 1 , wherein the at least one new voice sample is a most recently received voice sample.

3. A method as claimed in claim 1 , wherein the at least one new voice sample comprises a plurality of recently received voice samples including a most recently received voice sample.

4. A method as claimed in claim 3 , wherein a number of samples in the plurality of recently received voice samples is configurable.

5. A method as claimed in claim 1 , further comprising:
determining whether a number of false rejections in a recent set of received voice samples exceeds a threshold value; and
if the number of false rejections in the recent set of received voice samples exceeds the threshold value, determining that further system training is required.

6. A method as claimed in claim 5 , wherein the threshold value is configurable.

7. A method as claimed in claim 5 , wherein the number of received voice samples in said recent set of received voice samples is configurable.

8. A speaker recognition system, comprising:
an input for receiving at least one new voice sample from a user for speaker authentication,
wherein the speaker recognition system is configured for performing a method comprising:
receiving at least one new voice sample from the user for speaker authentication;
determining a first offset value from scores assigned to previously received voice samples from said user, wherein the first offset value comprises an average of respective offsets of said scores from a mean score value;

determining a second offset value from at least one score assigned to the at least one new voice sample from said user;
determining whether a difference between said second offset value and said first offset value exceeds a proximity threshold; and
if the difference between said second offset value and said first offset value exceeds the proximity threshold, determining that further system training is required, and indicating to the user that said further system training is required.

9. A computer program product, comprising a non-transitory computer-readable medium, having stored thereon instructions for causing a processor to perform a method comprising:
receiving at least one new voice sample from a user for speaker authentication;
determining a first offset value from scores assigned to previously received voice samples from said user, wherein the first offset value comprises an average of respective offsets of said scores from a mean score value;
determining a second offset value from at least one score assigned to the at least one new voice sample from said user;
determining whether a difference between said second offset value and said first offset value exceeds a proximity threshold; and
if the difference between said second offset value and said first offset value exceeds the proximity threshold, determining that further system training is required, and indicating to the user that said further system training is required.

Assignees

• Cirrus Logic Int Semiconductor Ltd
• Cirrus Logic Inc

Inventors

• Garcia Gomar Marta

Classifications

• G10L17/22

  Interactive procedures; Man-machine interfaces · CPC title

• G10L17/00 Primary

  Speaker identification or verification techniques · CPC title

• H04L63/0861 Primary

  using biometrical features, e.g. fingerprint, retina-scan (cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231) · CPC title

• H04W12/06

  Authentication · CPC title

• G10L17/005

  Physics · mapped topic