Multilingual, acoustic deep neural networks
US9460711B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2013 |
| Grant date | Oct 4, 2016 |
| Priority date | — |
| Expiry date | Oct 14, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/144
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for processing multilingual DNN acoustic models are described. An example method may include receiving training data that includes a respective training data set for each of two or more or languages. A multilingual deep neural network (DNN) acoustic model may be processed based on the training data. The multilingual DNN acoustic model may include a feedforward neural network having multiple layers of one or more nodes. Each node of a given layer may connect with a respective weight to each node of a subsequent layer, and the multiple layers of one or more nodes may include one or more shared hidden layers of nodes and a language-specific output layer of nodes corresponding to each of the two or more languages. Additionally, weights associated with the multiple layers of one or more nodes of the processed multilingual DNN acoustic model may be stored in a database.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.