Accuracy improvement of spoken queries transcription using co-occurrence information
US8650031B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2011 |
| Grant date | Feb 11, 2014 |
| Priority date | — |
| Expiry date | Oct 3, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1815
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.