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Title: US5129001: Method and apparatus for modeling words with multi-arc markov models
[ Derwent Title ]


Country: US United States of America

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16 pages

 
Inventor: Bahl, Lalit R.; Amawalk, NY
Bellegarda, Jerome R.; Goldens Bridge, NY
De Souza, Peter V.; Yorktown Heights, NY
Gopalakrishnan, Ponani S.; Croton-on-Hudson, NY
Nahamoo, David; White Plains, NY
Picheny, Michael A.; White Plains, 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: 1992-07-07 / 1990-04-25

Application Number: US1990000514075

IPC Code: Advanced: G06F 7/00; G06F 17/18; G10L 15/06; G10L 15/10; G10L 15/14;
Core: G10L 15/00; more...
IPC-7: G10L 5/06;

U.S. Class: Current: 704/251; 704/240; 704/E15.029;
Original: 381/043;

Field of Search: 364/513.5 381/041-45 395/002

Priority Number:
1990-04-25  US1990000514075

Abstract: Modeling a word is done by concatenating a series of elemental models to form a word model. At least one elemental model in the series is a composite elemental model formed by combining the starting states of at least first and second primitive elemental models. Each primitive elemental model represents a speech component. The primitive elemental models are combined by a weighted combination of their parameters in proportion to the values of the weighting factors. To tailor the word model to closely represent variations in the pronunciation of the word, the word is uttered a plurality of times by a plurality of different speakers. Constructing word models from composite elemental models, and constructing composite elemental models from primitive elemental models enables word models to represent many variations in the pronunciation of a word. Providing a relatively small set of primitive elemental models for a relatively large vocabulary of words enables models to be trained to the voice of a new speaker by having the new speaker utter only a small subset of the words in the vocabulary.

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

Primary / Asst. Examiners: Shaw, Dale M.; Knepper, David D.

Maintenance Status: E3 Expired  Check current status

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Designated Country: DE FR GB IT 

Family: Show 7 known family members

First Claim:
Show all 18 claims
We claim:     1. A method of modeling a word, said method comprising the steps of:
  • defining a finite set of n speech components, where n is an integer greater than or equal to two;
  • providing a primitive elemental model for each speech component, each primitive elemental model having at least first and second states, at least one transition from the first state to the second state, and at least one parameter having a value;
  • combining the first states of at least first and second primitive elemental models of different speech components to form a composite elemental model having at least first and second weighting factors, respectively, each weighting factor having a prior value, said primitive elemental models being combined by a weighted combination of their parameters in proportion to the values of the weighting factors;
  • concatenating a series of elemental models to form a word model, at least one elemental model in the series being the composite elemental model;
  • uttering the word one or more times, each utterance of the word producing an observed sequence of component sounds;
  • estimating, from the prior values of the first and second weighting factors and from the values of the parameters of the first and second primitive elemental models, the conditional probability of occurrence of the first primitive elemental model given the occurrence of the composite elemental model and given the occurrence of the observed sequence of component sounds; and
  • estimating a posterior value for the first weighting factor from the conditional probability.


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Forward References: Show 16 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (16)   |   Backward references (4)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 79pp US4718094  1988-01 Bahl et al.  International Business Machines Corp. Speech recognition system
Get PDF - 13pp US4741036  1988-04 Bahl et al.  International Business Machines Corporation Determination of phone weights for markov models in a speech recognition system
Get PDF - 14pp US4829577  1989-05 Kuroda et al.  International Business Machines Corporation Speech recognition method
Get PDF - 53pp US4833712  1989-05 Bahl et al.  International Business Machines Corporation Automatic generation of simple Markov model stunted baseforms for words in a vocabulary
       
Foreign References: None

Other Abstract Info: DERABS G91-318869

Other References:
  • Nishimura et al., "Speaker Adaptation Method for HMM-Based Speech Recognition," IEEE Int'l Conf. on Acoustics, Speech, and Signal Processing, 11-14 Apr. 1988, pp. 207-210.
  • Jelinek, "Continuous Speech Recognition by Statistical Methods," Proc. of the IEEE, vol. 64, No. 4, Apr. 1976, pp. 532-556. (25 pages) Cited by 30 patents


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