Posterior-based feature with partial distance elimination for speech recognition
US9336775B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2013 |
| Grant date | May 10, 2016 |
| Priority date | — |
| Expiry date | Feb 15, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A high-dimensional posterior-based feature with partial distance elimination may be utilized for speech recognition. The log likelihood values of a large number of Gaussians are needed to generate the high-dimensional posterior feature. Gaussians with very small log likelihoods are associated with zero posterior values. Log likelihoods for Gaussians for a speech frame may be evaluated with a partial distance elimination method. If the partial distance of a Gaussian is already too small, the Gaussian will have a zero posterior value. The partial distance may be calculated by sequentially adding individual dimensions in a group of dimensions. The partial distance elimination occurs when less than all of the dimensions in the group are sequentially added.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.