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:
Feb. 20, 2007

Filed:

May. 19, 1999
Applicants:

Mazin G. Rahim, Matawan, NJ (US);

Giuseppe Riccardi, Hoboken, NJ (US);

Jeremy Huntley Wright, Warren, NJ (US);

Bruce Melvin Buntschuh, Berkeley Heights, NJ (US);

Allen Louis Gorin, Berkeley Heights, NJ (US);

Inventors:

Mazin G. Rahim, Matawan, NJ (US);

Giuseppe Riccardi, Hoboken, NJ (US);

Jeremy Huntley Wright, Warren, NJ (US);

Bruce Melvin Buntschuh, Berkeley Heights, NJ (US);

Allen Louis Gorin, Berkeley Heights, NJ (US);

Assignee:

AT&T Corp., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2006.01); G10L 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system for recognizing connected digits in natural spoken dialogue includes a speech recognition processor that receives unconstrained fluent input speech and produces a string of words that can include a numeric language, and a numeric understanding processor that converts the string of words into a sequence of digits based on a set of rules. An acoustic model database utilized by the speech recognition processor includes a first set of hidden Markov models that characterize the acoustic features of numeric words and phrases, a second set of hidden Markov models that characterize the acoustic features of the remaining vocabulary words, and a filler model that characterizes the acoustic features of out-of-vocabulary utterances. An utterance verification processor verifies the accuracy of the string of words. A validation database stores a grammar, and a string validation processor outputs validity information based on a comparison of the sequence of digits with the grammar. A dialogue manager processor initiates an action based on the validity information.


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