Time domain neural networks for spatial audio reproduction
US11490218B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 24, 2020 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Jan 7, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04S2420/11
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device for reproducing spatial audio using a machine learning model may include at least one processor configured to receive multiple audio signals corresponding to a sound scene captured by respective microphones of a device. The at least one processor may be further configured to provide the multiple audio signals to a machine learning model, the machine learning model having been trained based at least in part on a target rendering configuration. The at least one processor may be further configured to provide, responsive to providing the multiple audio signals to the machine learning model, multichannel audio signals that comprise a spatial reproduction of the sound scene in accordance with the target rendering configuration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.