Sample clustering to reduce manual transcriptions in speech recognition system
US8666726B2 · kind B2 · utility
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2References
26Claims
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Key dates
| Filing date | Dec 21, 2010 |
| Grant date | Mar 4, 2014 |
| Priority date | — |
| Expiry date | Jun 29, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for grouping a plurality of samples automatically transcribed from a plurality of utterances. The method comprises forming clusters from the plurality of samples, wherein the clusters include two or more of the plurality of samples. One or more samples are selected from a cluster and manually-processed data samples for the one or more samples are obtained. A weighting factor may be assigned to the data samples based, at least in part, on the number of samples in the cluster associated with the selected data sample.
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