Speech recognition system and method which permits a speaker's utterance to be recognized using a hidden markov model with subsequent calculation reduction
US5649056A · kind A · utility
22Cited by
7References
6Claims
0Family size
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Key dates
| Filing date | Feb 14, 1994 |
| Grant date | Jul 15, 1997 |
| Priority date | — |
| Expiry date | Feb 14, 2014 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A sound analyzer sound analyzes an input speech signal to obtain feature vectors. A matrix quantizer performs a matrix quantization process between the feature vectors obtained by the sound analyzer and a phonetic segment dictionary prepared in phonetic segment units to obtain a phonetic segment similarity sequence. A PS-phoneme integrating section integrates the phonetic segment similarity sequence into a phonemic feature vector. A HMM recognizer checks the phonemic feature vector using a HMM prepared in certain units, to thereby perform a recognition process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.