Sub-matrix input for neural network layers
US10580401B2 · kind B2 · utility
3Cited by
2References
19Claims
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Key dates
| Filing date | Feb 4, 2015 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Oct 14, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.