Acoustic model adaptation methods based on pronunciation variability analysis for enhancing the recognition of voice of non-native speaker and apparatus thereof
US8515753B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2007 |
| Grant date | Aug 20, 2013 |
| Priority date | — |
| Expiry date | Feb 8, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The example embodiment of the present invention provides an acoustic model adaptation method for enhancing recognition performance for a non-native speaker's speech. In order to adapt acoustic models, first, pronunciation variations are examined by analyzing a non-native speaker's speech. Thereafter, based on variation pronunciation of a non-native speaker's speech, acoustic models are adapted in a state-tying step during a training process of acoustic models. When the present invention for adapting acoustic models and a conventional acoustic model adaptation scheme are combined, more-enhanced recognition performance can be obtained. The example embodiment of the present invention enhances recognition performance for a non-native speaker's speech while reducing the degradation of recognition performance for a native speaker's speech.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.