Sampling training data for an automatic speech recognition system based on a benchmark classification distribution
US8374865B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2012 |
| Grant date | Feb 12, 2013 |
| Priority date | — |
| Expiry date | Apr 26, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A set of benchmark text strings may be classified to provide a set of benchmark classifications. The benchmark text strings in the set may correspond to a benchmark corpus of benchmark utterances in a particular language. A benchmark classification distribution of the set of benchmark classifications may be determined. A respective classification for each text string in a corpus of text strings may also be determined. Text strings from the corpus of text strings may be sampled to form a training corpus of training text strings such that the classifications of the training text strings have a training text string classification distribution that is based on the benchmark classification distribution. The training corpus of training text strings may be used to train an automatic speech recognition (ASR) system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.