Multi-tap minimum variance distortionless response beamformer with neural networks for target speech separation
US11423906B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 10, 2020 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Aug 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02166
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer system, and computer readable medium are provided for automatic speech recognition. Video data and audio data corresponding to one or more speakers is received. A minimum variance distortionless response function is applied to the received audio and video data. A predicted target waveform corresponding to a target speaker from among the one or more speakers is generated based on back-propagating the output of the applied minimum variance distortionless response function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.