Rendering scene-aware audio using neural network-based acoustic analysis
US11190898B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 5, 2019 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Nov 5, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04S2400/15
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment. Furthermore, the disclosed system can augment training data for training the neural networks using frequency-dependent equalization information associated with measured and synthetic impulse responses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.