Training method of speech signal processing model with shared layer, electronic device and storage medium
US11158304B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2019 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Apr 13, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention provide a speech signal processing model training method, an electronic device and a storage medium. The embodiments of the present invention determines a target training loss function based on a training loss function of each of one or more speech signal processing tasks; inputs a task input feature of each speech signal processing task into a starting multi-task neural network, and updates model parameters of a shared layer and each of one or more task layers of the starting multi-task neural network corresponding to the one or more speech signal processing tasks by minimizing the target training loss function as a training objective, until the starting multi-task neural network converges, to obtain a speech signal processing model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.