Participant-tuned filtering using deep neural network dynamic spectral masking for conversation isolation and security in noisy environments
US11257510B2 · kind B2 · utility
0Cited by
8References
23Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2019 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | May 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02087
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Isolating and amplifying a conversation between selected participants is provided. A plurality of spectral masks is received. Each spectral mask in the plurality corresponds to a respective participant in a selected group of participants included in a conversation. A composite spectral mask is generated by additive superposition of the plurality of spectral masks. The composite spectral mask is applied to sound captured by a microphone to filter out sounds that do not match the composite spectral mask and amplifying remaining sounds that match the composite spectral mask.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.