Full-sequence training of deep structures for speech recognition
US9031844B2 · kind B2 · utility
12Cited by
4References
20Claims
0Family size
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Key dates
| Filing date | Sep 21, 2010 |
| Grant date | May 12, 2015 |
| Priority date | — |
| Expiry date | May 11, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes an act of causing a processor to access a deep-structured model retained in a computer-readable medium, the deep-structured model includes a plurality of layers with respective weights assigned to the plurality of layers, transition probabilities between states, and language model scores. The method further includes the act of jointly substantially optimizing the weights, the transition probabilities, and the language model scores of the deep-structured model using the optimization criterion based on a sequence rather than a set of unrelated frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.