The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 09, 2011

Filed:

Feb. 12, 2008
Applicants:

Jyh-shing Jang, Taipei, TW;

Pai-pin Wang, Taipei, TW;

Jiang-chun Chen, Dadu Township, Taichung County, TW;

Zheng-hao Lin, Yilan, TW;

Inventors:

Jyh-Shing Jang, Taipei, TW;

Pai-Pin Wang, Taipei, TW;

Jiang-Chun Chen, Dadu Township, Taichung County, TW;

Zheng-Hao Lin, Yilan, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method of generating and detecting confusing phones/syllables is disclosed. The method includes a generating stage and a detecting stage. The generating stage includes: (a) input a Mandarin utterance; (b) partition the Mandarin utterance into segmented phones/syllables and generate the most likely route in a recognition net via Forced Alignment of Viterbi decoding; (c) compare the segmented phones/syllables with a Mandarin acoustic model; (d) determine whether a confusing phone/syllable exists; (e) add the confusing phone/syllable into the recognition net and repeat step (b), (c), and (d) when the confusing phone/syllable exists; (f) stop and output all generated confusing phones/syllables to a confusing phone/syllable file when a confusing phone/syllable does not exist. The detecting stage includes: (g) input a spoken sentence; (h) align the spoken sentence with the recognition net; (i) determine the most likely route of the spoken sentence; and (j) compare the most likely route of the spoken sentence with the target route of the spoken sentence to detect pronunciation error and give high-level pronunciation suggestions.


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