Speech recognition semantic classification training
US9620110B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2014 |
| Grant date | Apr 11, 2017 |
| Priority date | — |
| Expiry date | Apr 28, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0636
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automated method is described for developing an automated speech input semantic classification system such as a call routing system. A set of semantic classifications is defined for classification of input speech utterances, where each semantic classification represents a specific semantic classification of the speech input. The semantic classification system is trained from training data from training data substantially without manually transcribed in-domain training data, and then operated to assign input speech utterances to the defined semantic classifications. Adaptation training data based on input speech utterances is collected with manually assigned semantic labels from at least one source of already collected language data. When the adaptation training data satisfies a pre-determined adaptation criteria, the semantic classification system is automatically retrained based on the adaptation training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.