All deep learning minimum variance distortionless response beamformer for speech separation and enhancement
US11380307B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Sep 30, 2020 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Nov 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02166
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program, and computer system is provided for automated speech recognition. Audio data corresponding to one or more speakers is received. Covariance matrices of target speech and noise associated with the received audio data are estimated based on a gated recurrent unit-based network. A predicted target waveform corresponding to a target speaker from among the one or more speakers is generated by a minimum variance distortionless response function based on the estimated covariance matrices.
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