Confidence calibration in automatic speech recognition systems
US9070360B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2009 |
| Grant date | Jun 30, 2015 |
| Priority date | — |
| Expiry date | Nov 22, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a calibration model for use in a speech recognition system. The calibration model adjusts the confidence scores output by a speech recognition engine to thereby provide an improved calibrated confidence score for use by an application. The calibration model is one that has been trained for a specific usage scenario, e.g., for that application, based upon a calibration training set obtained from a previous similar/corresponding usage scenario or scenarios. Different calibration models may be used with different usage scenarios, e.g., during different conditions. The calibration model may comprise a maximum entropy classifier with distribution constraints, trained with continuous raw confidence scores and multi-valued word tokens, and/or other distributions and extracted features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.