Method for constructing a model of a new word for addition to a word model database of a speech recognition system
US5873061A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 1996 |
| Grant date | Feb 16, 1999 |
| Priority date | — |
| Expiry date | May 2, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/144
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
For speech recognition a new word is represented as based on a stored inventory of models of sub-word units. First a plurality of utterances are presented that all should conform to the word. For building a word model from the utterances, these are represented by a sequence of feature vectors. First, the utterances are used to train a whole-word model that is independent of the models of the sub-word units. The length of the whole-word model equals the average length of the utterances. Next, a sequence of Markov states and associated probability densities of acoustic events of the whole-word model is interpreted as a reference template represented by a string of averaged feature vectors. Finally, the string is recognized by matching to models in the inventory and storing a recognition result as a model of the utterances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.