Machine learning based sound field analysis
US10334357B2 · kind B2 · utility
2Cited by
1References
27Claims
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Key dates
| Filing date | Sep 29, 2017 |
| Grant date | Jun 25, 2019 |
| Priority date | — |
| Expiry date | Sep 29, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04S2400/15
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Impulse responses of a device are measured. A database of sound files is generated by convolving source signals with the impulse responses of the device. The sound files from the database are transformed into time-frequency domain. One or more sub-band directional features is estimated at each sub-band of the time-frequency domain. A deep neural network (DNN) is trained for each sub-band based on the estimated one or more sub-band directional features and a target directional feature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.