System and method for performing speech enhancement using a neural network-based combined symbol
US10090001B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2016 |
| Grant date | Oct 2, 2018 |
| Priority date | — |
| Expiry date | Aug 1, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/84
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method of speech enhancement using Neural Network-based combined signal starts with training neural network offline which includes: (i) exciting at least one accelerometer and at least one microphone using training accelerometer signal and training acoustic signal, respectively. The training accelerometer signal and the training acoustic signal are correlated during clean speech segments. Training neural network offline further includes(ii) selecting speech included in the training accelerometer signal and in the training acoustic signal, and (iii) spatially localizing the speech by setting a weight parameter in the neural network based on the selected speech included in the training accelerometer signal and in the training acoustic signal. The neural network that is trained offline is then used to generate a speech reference signal based on an accelerometer signal from the at least one accelerometer and an acoustic signal received from the at least one microphone. Other embodiments are described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.