Scalable entities and patterns mining pipeline to improve automatic speech recognition
US12087286B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2021 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Jan 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system obtains features that have been extracted from an acoustic signal, where the acoustic signal comprises spoken words uttered by a user. The computing system performs automatic speech recognition (ASR) based upon the features and a language model (LM) generated based upon expanded pattern data. The expanded pattern data includes a name of an entity and a search term, where the entity belongs to a segment identified in a knowledge base. The search term has been included in queries for entities belonging to the segment. The computing system identifies a sequence of words corresponding to the features based upon results of the ASR. The computing system transmits computer-readable text to a search engine, where the text includes the sequence of words.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.