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Title: US5524169: Method and system for location-specific speech recognition
[ Derwent Title ]


Country: US United States of America

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7 pages

 
Inventor: Cohen, Paul S.; Yorktown Heights, NY
Lucassen, John M.; New York, NY
Miller, Roger M.; Brookfield, CT
Sherwin, Jr., Elton B.; Stamford, CT

Assignee: International Business Machines Incorporated, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1996-06-04 / 1993-12-30

Application Number: US1993000175701

IPC Code: Advanced: G10L 15/00; G10L 15/10; G10L 15/26; G10L 15/28; H04Q 7/34;
IPC-7: G10L 5/06;

ECLA Code: G10L15/26C;

U.S. Class: Current: 704/231; 704/255; 704/270; 704/E15.044;
Original: 395/002.4; 395/002.64; 395/002.79;

Field of Search: 395/2.4,2.52,2.53,2.61,2.64,2.86,2.79 364/424.01,424.02

Priority Number:
1993-12-30  US1993000175701

Abstract:     A method and system for reducing perplexity in a speech recognition system based upon determined geographic location. In a mobile speech recognition system which processes input frames of speech against stored templates representing speech, a core library of speech templates is created and stored representing a basic vocabulary of speech. Multiple location-specific libraries of speech templates are also created and stored, each library containing speech templates representing a specialized vocabulary for a specific geographic location. The geographic location of the mobile speech recognition system is then periodically determined utilizing a cellular telephone system, a geopositioning satellite system or other similar systems and a particular one of the location-specific libraries of speech templates is identified for the current location of the system. Input frames of speech are then processed against the combination of the core library and the particular location-specific library to greatly enhance the accuracy and efficiency of speech recognition by the system. Each location-specific library preferably includes speech templates representative of location place names, proper names, and business establishments within a specific geographic location.

Attorney, Agent or Firm: Kashimba, Paul T. ; McKinley, Martin J. ; Dillon, Andrew J. ;

Primary / Asst. Examiners: MacDonald, Allen R.; Onka, Thomas J.

Maintenance Status: E3 Expired  Check current status

INPADOC Legal Status: Show legal status actions          Buy Now: Family Legal Status Report

Designated Country: DE FR GB 

Family: Show 3 known family members

First Claim:
Show all 10 claims
We claim:     1. A method for enhancing the efficiency of a mobile speech recognition system which processes input frames of speech against stored templates representing speech, said method comprising the steps of:
  • creating and storing a core library of speech templates representing a basic vocabulary of speech;
  • creating and storing a plurality of location-specific libraries of speech templates, each representing a specialized vocabulary for a particular geographic location;
  • determining a geographic location of said mobile speech recognition system;
  • combining said core library of speech templates with a particular one of said plurality of location-specific libraries of speech templates in response to said determination of said geographic location of said mobile speech recognition system; and
  • processing input frames of speech against said combined core library and location-specific library.


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Forward References: Show 65 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (65)   |   Backward references (26)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 10pp US4525793  1985-06 Stackhouse  General Electric Company Voice-responsive mobile status unit
Get PDF - 32pp US4620286  1986-10 Smith et al.  ITT Corporation Probabilistic learning element
Get PDF - 11pp US4769845  1988-09 Nakamura  Kabushiki Kaisha Carrylab Method of recognizing speech using a lip image
Get PDF - 17pp US4797924  1989-01 Schnars, et al.  Nartron Corporation Vehicle voice recognition method and apparatus
Get PDF - 18pp US4831550  1989-05 Katz  International Business Machines Corporation Apparatus and method for estimating, from sparse data, the probability that a particular one of a set of events is the next event in a string of events
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Get PDF - 11pp US4856066  1989-08 Lemelson   Speech communication system and method
Get PDF - 39pp US4866778  1989-09 Baker  Dragon Systems, Inc. Interactive speech recognition apparatus
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Get PDF - 12pp US5003490  1991-03 Castelaz et al.  Hughes Aircraft Company Neural network signal processor
Get PDF - 10pp US5005203  1991-04 Ney  U.S. Philips Corporation Method of recognizing continuously spoken words
Get PDF - 48pp US5027406  1991-06 Roberts et al.  Dragon Systems, Inc. Method for interactive speech recognition and training
Get PDF - 31pp US5033087  1991-07 Bahl et al.  International Business Machines Corp. Method and apparatus for the automatic determination of phonological rules as for a continuous speech recognition system
Get PDF - 31pp US5058167  1991-10 Kimura  Fujitsu Limited Speech recognition device
Get PDF - 25pp US5167011  1992-11 Priest  Morris; W. H. Method for coodinating information storage and retrieval
Get PDF - 19pp US5175794  1992-12 Tattersall  British Telecommunications public limited company Pattern recognition of temporally sequenced signal vectors
Get PDF - 14pp US5233681  1993-09 Bahl et al.  International Business Machines Corporation Context-dependent speech recognizer using estimated next word context
Get PDF - 10pp US5274695  1993-12 Green  U.S. Sprint Communications Company Limited Partnership System for verifying the identity of a caller in a telecommunications network
Get PDF - 20pp US5297183  1994-03 Bareis et al.  VCS Industries, Inc. Speech recognition system for electronic switches in a cellular telephone or personal communication network
Get PDF - 25pp US5384892  1995-01 Strong  Apple Computer, Inc. Dynamic language model for speech recognition
Get PDF - 13pp US5406492  1995-04 Suzuki  Kabushikaisha Equos Research Directional voice-type navigation apparatus
       
Foreign References: None

Other Abstract Info: DERABS G95-233557

Other References:
  • A. Burstein, et al., "Using Speech Recognition in a Personal Communications System," Supercomm/ICC '92: Discovering a New World of Communications, Jun., 1992 pp. 1717-1721 vol. 3.


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