Method for creating and using multiple-word sound models in speech recognition
US4837831A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Oct 15, 1986 |
| Grant date | Jun 6, 1989 |
| Priority date | — |
| Expiry date | Oct 15, 2006 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A first speech recognition method receives an acoustic description of an utterance to be recognized and scores a portion of that description against each of a plurality of cluster models representing similar sounds from different words. The resulting score for each cluster is used to calculate a word score for each word represented by that cluster. Preferably these word scores are used to prefilter vocabulary words, and the description of the utterance includes a succession of acoustic decriptions which are compared by linear time alignment against a succession of acoustic models. A second speech recognition method is also provided which matches an acoustic model with each of a succession of acoustic descriptions of an utterance to be recognized. Each of these models has a probability score for each vocabulary word. The probability scores for each word associated with the matching acoustic models are combined to form a total score for that word. The preferred speech recognition method calculates to separate word scores for each currently active vocabulary word from a common succession of sounds. Preferably the first scores is calculated by a time alignment method, while the second …
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.