Method and system for building a topic specific language model for use in automatic speech recognition
US9697821B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2013 |
| Grant date | Jul 4, 2017 |
| Priority date | — |
| Expiry date | Jul 22, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automatic speech recognition method includes at a computer having one or more processors and memory for storing one or more programs to be executed by the processors, obtaining a plurality of speech corpus categories through classifying and calculating raw speech corpus; obtaining a plurality of classified language models that respectively correspond to the plurality of speech corpus categories through a language model training applied on each speech corpus category; obtaining an interpolation language model through implementing a weighted interpolation on each classified language model and merging the interpolated plurality of classified language models; constructing a decoding resource in accordance with an acoustic model and the interpolation language model; and decoding input speech using the decoding resource, and outputting a character string with a highest probability as a recognition result of the input speech.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.