Speech recognition method and apparatus utilizing multi-unit models
US6629073B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2000 |
| Grant date | Sep 30, 2003 |
| Priority date | — |
| Expiry date | Apr 27, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A speech recognition method and system utilize an acoustic model that is capable of providing probabilities for both a large acoustic unit and an acoustic sub-unit. Each of these probabilities describes the likelihood of a set of feature vectors from a series of feature vectors representing a speech signal. The large acoustic unit is formed from a plurality of acoustic sub-units. At least one sub-unit probability and at least on large unit probability from the acoustic model are used by a decoder to generate a score for a sequence of hypothesized words. When combined, the acoustic sub-units associated with all of the sub-unit probabilities used to determine the score span fewer than all of the feature vectors in the series of feature vectors. An overlapping decoding technique is also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.