Methods, systems, and circuits for speaker dependent voice recognition with a single lexicon
US9633652B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2013 |
| Grant date | Apr 25, 2017 |
| Priority date | — |
| Expiry date | Mar 31, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments reduce the complexity of speaker dependent speech recognition systems and methods by representing the code phrase (i.e., the word or words to be recognized) using a single Gaussian Mixture Model (GMM) which is adapted from a Universal Background Model (UBM). Only the parameters of the GMM need to be stored. Further reduction in computation is achieved by only checking the GMM component that is relevant to the keyword template. In this scheme, keyword template is represented by a sequence of the index of best performing component of the GMM of the keyword model. Only one template is saved by combining the registration template using Longest Common Sequence algorithm. The quality of the word model is continuously updated by performing expectation maximization iteration using the test word which is accepted as keyword model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.