Machine-learned differentiable digital signal processing
US12080311B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jun 29, 2023 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Jun 29, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of the present disclosure are directed toward digital signal processing using machine-learned differentiable digital signal processors. For example, embodiments of the present disclosure may include differentiable digital signal processors within the training loop of a machine-learned model (e.g., for gradient-based training). Advantageously, systems and methods of the present disclosure provide high quality signal processing using smaller models than prior systems, thereby reducing energy costs (e.g., storage and/or processing costs) associated with performing digital signal processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.