System and method for using meta-data dependent language modeling for automatic speech recognition
US7752046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2004 |
| Grant date | Jul 6, 2010 |
| Priority date | — |
| Expiry date | May 3, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/226
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for providing a spoken dialog system using meta-data to build language models to improve speech processing. Meta-data is generally defined as data outside received speech; for example, meta-data may be a customer profile having a name, address and purchase history of a caller to a spoken dialog system. The method comprises building tree clusters from meta-data and estimating a language model using the built tree clusters. The language model may be used by various modules in the spoken dialog system, such as the automatic speech recognition module and/or the dialog management module. Building the tree clusters from the meta-data may involve generating projections from the meta-data and further may comprise computing counts as a result of unigram tree clustering and then building both unigram trees and higher-order trees from the meta-data as well as computing node distances within the built trees that are used for estimating the language model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.