Recognition confidence measuring by lexical distance between candidates

US8990086B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8990086-B2
Application numberUS-49556206-A
CountryUS
Kind codeB2
Filing dateJul 31, 2006
Priority dateFeb 9, 2006
Publication dateMar 24, 2015
Grant dateMar 24, 2015

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Abstract

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A recognition confidence measurement method, medium and system which can more accurately determine whether an input speech signal is an in-vocabulary, by extracting an optimum number of candidates that match a phone string extracted from the input speech signal and estimating a lexical distance between the extracted candidates is provided. A recognition confidence measurement method includes: extracting a phoneme string from a feature vector of an input speech signal; extracting candidates by matching the extracted phoneme string and phoneme strings of vocabularies registered in a predetermined dictionary and; estimating a lexical distance between the extracted candidates; and determining whether the input speech signal is an in-vocabulary, based on the lexical distance.

First claim

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What is claimed is: 1. A recognition confidence measurement method comprising: detecting a feature vector of an input speech signal through normalization of a histogram and extracting a phoneme string from the detected feature vector of the input speech signal; obtaining information about a distance between a phoneme string of the input speech signal and a phoneme string of a predetermined vocabulary, by a predetermined phoneme confusion matrix, wherein the phoneme confusion mat…

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What does patent US8990086B2 cover?
A recognition confidence measurement method, medium and system which can more accurately determine whether an input speech signal is an in-vocabulary, by extracting an optimum number of candidates that match a phone string extracted from the input speech signal and estimating a lexical distance between the extracted candidates is provided. A recognition confidence measurement method includes: e…
Who is the assignee on this patent?
Jeong Sang-Bae, Kim Nam Hoon, Han Ick Sang, and 4 more
What technology area does this patent fall under?
Primary CPC classification G10L15/08. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 24 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).