Method and system for dynamically adjusted training for speech recognition
US5963903A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 1996 |
| Grant date | Oct 5, 1999 |
| Priority date | — |
| Expiry date | Jun 28, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for dynamically selecting words for training a speech recognition system. The speech recognition system models each phoneme using a hidden Markov model and represents each word as a sequence of phonemes. The training system ranks each phoneme for each frame according to the probability that the corresponding codeword will be spoken as part of the phoneme. The training system collects spoken utterances for which the corresponding word is known. The training system then aligns the codewords of each utterance with the phoneme that it is recognized to be part of. The training system then calculates an average rank for each phoneme using the aligned codewords for the aligned frames. Finally, the training system selects words for training that contain phonemes with a low rank.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.