SYSTEM AND METHOD FOR DETECTING SYNTHETIC SPEAKER VERIFICATION

• US 20180075851A1
• Filed: 11/06/2017
• Published: 03/15/2018
• Est. Priority Date: 04/11/2008
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Schroeter, Horst J.
• Application Number:
  US15/804,220
• Publication Number:
  US 20180075851A1
• Time in Patent Office: Days
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: G10L 17/04 Training, enrolment or model building
• CPC Class Codes: G10L 17/08 Use of distortion metrics or a particular distance between probe pattern and reference templates
• CPC Class Codes: G10L 17/20 Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions
• CPC Class Codes: G10L 17/24 the user being prompted to utter a password or a predefined phrase

Abstract

Disclosed herein are systems, methods, and tangible computer readable-media for detecting synthetic speaker verification. The method comprises receiving a plurality of speech samples of the same word or phrase for verification, comparing each of the plurality of speech samples to each other, denying verification if the plurality of speech samples demonstrate little variance over time or are the same, and verifying the plurality of speech samples if the plurality of speech samples demonstrates sufficient variance over time. One embodiment further adds that each of the plurality of speech samples is collected at different times or in different contexts. In other embodiments, variance is based on a pre-determined threshold or the threshold for variance is adjusted based on a need for authentication certainty. In another embodiment, if the initial comparison is inconclusive, additional speech samples are received.

Claims

1. A method comprising:

receiving, via a processor and from a user, a plurality of speech samples of a same word, wherein the plurality of speech samples of the same word is associated with a first location and comprises a current speech sample and a plurality of previously recorded speech samples; and

enrolling the user in a speech verification system based at least in part on a comparison of a first sample in the plurality of speech samples with a second sample in the plurality of speech samples, wherein the second sample in the plurality of speech samples is associated with a second location.