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Title: US5054074: Optimized speech recognition system and method
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Country: US United States of America

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16 pages

 
Inventor: Bakis, Raimo; Yorktown Heights, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1991-10-01 / 1990-09-17

Application Number: US1990000586338

IPC Code: Advanced: G10L 15/14;
IPC-7: G10L 5/00;

ECLA Code: G10L15/14; T05K999/99;

U.S. Class: Current: 704/240;
Original: 381/041; 381/043; 364/513.5;

Field of Search: 381/041-43 364/513.5

Priority Number:
1990-09-17  US1990000586338
1989-03-02  US1989000318042

Abstract:     A speech recognition system estimates a set of Poisson intensities for a spoken word, each intensity representing a respectively different word from a vocabulary of words. Each of the functions used to calculate these intensities has two variable parameter values. In a training mode, the system changes the values of the respective variable parameters to optimize the likelihood that the results predicted by the estimates correspond to the actual spoken words. These optimized parameter values are then used by the system, in an operational mode, to recognize spoken words.

Attorney, Agent or Firm: Schechter, Marc D. ;

Primary / Asst. Examiners: Kemeny, Emanuel S.;

Maintenance Status: E2 Expired  Check current status

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Related Applications:
Application Number Filed Patent Pub. Date  Title
US1989000318042 1989-03-02       


       
Parent Case:     This is a continuation of application Ser. No. 318,042, filed Mar. 2, 1989, now abandoned.

Designated Country: DE FR GB IT 

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First Claim:
Show all 8 claims
The invention claimed is:     1. A method of modeling the sounds produced by speaking at least first and second portions of speech, said method comprising the steps of:
  • uttering at least the first portion of speech N times in a time interval having a series of successive subintervals, where N is an integer greater than or equal to one;
  • measuring the value of at least one feature of the utterance of the first portion of speech during each of the series of successive subintervals to produce a series of feature vector signals representing the feature values;
  • estimating the expected number of occurrences of the first portion of speech in the time interval as a combination of the values for each subinterval of a first model function of the measured value of the feature of the utterance of the first portion of speech, said first model function having at least a first parameter having an initial value;
  • estimating the expected number of occurrences of the second portion of speech in the time interval as a combination of the values for each subinterval of a second model function of the measured value of the feature of the utterance of the first portion of speech, said second model function having at least a second parameter having an initial value;
  • estimating the probability of exactly N occurrences of the first portion of speech in the time interval given the estimated expected number of occurrences of the first portion of speech;
  • estimating the probability of exactly zero occurrences of the second portion of speech in the time interval given the estimated expected number of occurrences of the second portion of speech;
  • calculating revised values of the first and second parameters to improve the value of an objective function comprising a combination of at least the estimated probability of exactly N occurrences of the first portion of speech and the estimated probability of exactly zero occurrences of the second portion of speech;
  • modeling the first portion of speech with the first model function with the revised value of the first parameter; and
  • modeling the second portion of speech with the second model function with the revised value of the second parameter.


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Forward References: Show 20 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (20)   |   Backward references (3)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 22pp US4363102  1982-12 Holmgren et al.  Bell Telephone Laboratories, Incorporated Speaker identification system using word recognition templates
Get PDF - 15pp US4559604  1985-12 Ichikawa et al.  Hitachi, Ltd. Pattern recognition method
Get PDF - 35pp US4759068  1988-07 Bahl et al.  International Business Machines Corporation Constructing Markov models of words from multiple utterances
       
Foreign References: None

Other Abstract Info: DERABS G90-269214

Other References:
  • E04KDF-NAG Fortran Library Routine Document (pp. 1-18).


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