Speech recognition method and system using triphones, diphones, and phonemes
US5502790A · kind A · utility
269Cited by
5References
22Claims
0Family size
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Key dates
| Filing date | Dec 21, 1992 |
| Grant date | Mar 26, 1996 |
| Priority date | — |
| Expiry date | Dec 21, 2012 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A speech recognition system starts by training hidden Markov models for all triphones, diphones, and phonemes occurring in a small training vocabulary. Hidden Markov models of a target vocabulary are created by concatenating the triphone, diphone, and phoneme models, using triphone models if available, diphone HMMs when triphone models are not available, and phoneme models when neither triphone nor diphone models are available. Utterances from the target vocabulary are recognized by choosing a model with maximum probability of reproducing quantized utterance features.
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