Generating facial position data based on audio data
US11049308B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 25, 2019 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Apr 25, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T13/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for generating a machine-learned model to generate facial position data based on audio data comprising training a conditional variational autoencoder having an encoder and decoder. The training comprises receiving a set of training data items, each training data item comprising a facial position descriptor and an audio descriptor; processing one or more of the training data items using the encoder to obtain distribution parameters; sampling a latent vector from a latent space distribution based on the distribution parameters; processing the latent vector and the audio descriptor using the decoder to obtain a facial position output; calculating a loss value based at least in part on a comparison of the facial position output and the facial position descriptor of at least one of the one or more training data items; and updating parameters of the conditional variational autoencoder based at least in part on the calculated loss value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.