Joint signal and model based noise matching noise robustness method for automatic speech recognition
US7729908B2 · kind B2 · utility
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Key dates
| Filing date | Mar 6, 2006 |
| Grant date | Jun 1, 2010 |
| Priority date | — |
| Expiry date | Apr 1, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/0216
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A noise robustness method operates jointly in a signal domain and a model domain. For example, energy is added in the signal domain for frequency bands where an actual noise level of an incoming signal is lower than a noise level used to train models, thus obtaining a compensated signal. Also, energy is added in the model domain for frequency bands where noise level of the incoming signal or the compensated signal is higher than the noise level used to train the models. Moreover, energy is never removed, thereby avoiding problems of higher sensitivity of energy removal to estimation errors.
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