Integrated speech recognition and semantic classification
US7856351B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2007 |
| Grant date | Dec 21, 2010 |
| Priority date | — |
| Expiry date | Oct 22, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1815
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A novel system integrates speech recognition and semantic classification, so that acoustic scores in a speech recognizer that accepts spoken utterances may be taken into account when training both language models and semantic classification models. For example, a joint association score may be defined that is indicative of a correspondence of a semantic class and a word sequence for an acoustic signal. The joint association score may incorporate parameters such as weighting parameters for signal-to-class modeling of the acoustic signal, language model parameters and scores, and acoustic model parameters and scores. The parameters may be revised to raise the joint association score of a target word sequence with a target semantic class relative to the joint association score of a competitor word sequence with the target semantic class. The parameters may be designed so that the semantic classification errors in the training data are minimized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.