Patent · US Expired

Method of modeling single data class from multi-class data

US7454337B1 · kind B1 · utility

5Cited by
8References
11Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 13, 2004
Grant dateNov 18, 2008
Priority date
Expiry dateApr 16, 2026

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG10L17/04
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

The present invention is a method of modeling a single class of data from data containing multiple classes of data of the same type of data by first receiving a collection of data that includes data from multiple classes of data of the same type where the amount of data of the single class of data exceeds that of any other class of data. A first statistical model of the received collection of data is generated. The collection of data is divided into subsets. Each subset of the speech collection of data is scored using the first statistical model. A set of scores is selected. The subsets corresponding to the selected scores are identified. The identified subsets are combined. A second statistical model of the type of the first statistical model is generated for the combined subsets and used as the model of the single class of data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.