Method and apparatus for detecting spoofing conditions
US10692502B2 · kind B2 · utility
5Cited by
8References
22Claims
0Family size
Assignee
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Key dates
| Filing date | Mar 2, 2018 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Jun 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/51
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automated speaker verification (ASV) system incorporates a first deep neural network to extract deep acoustic features, such as deep CQCC features, from a received voice sample. The deep acoustic features are processed by a second deep neural network that classifies the deep acoustic features according to a determined likelihood of including a spoofing condition. A binary classifier then classifies the voice sample as being genuine or spoofed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.