Neural networks for speaker verification
US11961525B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 3, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Nov 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This document generally describes systems, methods, devices, and other techniques related to speaker verification, including (i) training a neural network for a speaker verification model, (ii) enrolling users at a client device, and (iii) verifying identities of users based on characteristics of the users' voices. Some implementations include a computer-implemented method. The method can include receiving, at a computing device, data that characterizes an utterance of a user of the computing device. A speaker representation can be generated, at the computing device, for the utterance using a neural network on the computing device. The neural network can be trained based on a plurality of training samples that each: (i) include data that characterizes a first utterance and data that characterizes one or more second utterances, and (ii) are labeled as a matching speakers sample or a non-matching speakers sample.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.