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US-2024412731-A1 · Dec 12, 2024 · US
US8990086B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990086-B2 |
| Application number | US-49556206-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 31, 2006 |
| Priority date | Feb 9, 2006 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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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.
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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…
Physics · mapped topic
Physics · mapped topic
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