Method and apparatus for speech recognition using neural networks with speaker adaptation
US9721561B2 · kind B2 · utility
3Cited by
10References
20Claims
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Key dates
| Filing date | Dec 5, 2013 |
| Grant date | Aug 1, 2017 |
| Priority date | — |
| Expiry date | Aug 10, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In a speech recognition system, deep neural networks (DNNs) are employed in phoneme recognition. While DNNs typically provide better phoneme recognition performance than other techniques, such as Gaussian mixture models (GMM), adapting a DNN to a particular speaker is a real challenge. According to at least one example embodiment, speech data and corresponding speaker data are both applied as input to a DNN. In response, the DNN generates a prediction of a phoneme based on the input speech data and the corresponding speaker data. The speaker data may be generated from the corresponding speech data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.