Differential acoustic model representation and linear transform-based adaptation for efficient user profile update techniques in automatic speech recognition
US9406299B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2012 |
| Grant date | Aug 2, 2016 |
| Priority date | — |
| Expiry date | Apr 23, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/227
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method is described for speaker adaptation in automatic speech recognition. Speech recognition data from a particular speaker is used for adaptation of an initial speech recognition acoustic model to produce a speaker adapted acoustic model. A speaker dependent differential acoustic model is determined that represents differences between the initial speech recognition acoustic model and the speaker adapted acoustic model. In addition, an approach is also disclosed to estimate speaker-specific feature or model transforms over multiple sessions. This is achieved by updating the previously estimated transform using only adaptation statistics of the current session.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.