Obfuscating audio samples for health privacy contexts
US11929063B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2021 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Apr 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/87
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A supervised discriminator for detecting bio-markers in an audio sample dataset is trained and a denoising autoencoder is trained to learn a latent space that is used to reconstruct an output audio sample with a same fidelity as an input audio sample of the audio sample dataset. A conditional auxiliary generative adversarial network (GAN) trained to generate the output audio sample with the same fidelity as the input audio sample, wherein the output audio sample is void of the bio-markers. The conditional auxiliary generative adversarial network (GAN), the corresponding supervised discriminator, and the corresponding denoising autoencoder are deployed in an audio processing system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.