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Title: US5333236: Speech recognizer having a speech coder for an acoustic match based on context-dependent speech-transition acoustic models
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Country: US United States of America

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17 pages

 
Inventor: Bahl, Lalit R.; Amawalk, NY
De Souza, Peter V.; San Jose, CA
Gopalakrishnan, Ponani S.; Croton-on-Hudson, 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: 1994-07-26 / 1992-09-10

Application Number: US1992000942862

IPC Code: Advanced: G10L 15/10; G10L 15/14; G10L 15/18; G10L 19/00; G10L 19/04; G10L 19/06; G10L 19/08;
Core: G10L 15/00; more...
IPC-7: G10L 9/00;

ECLA Code: G10L19/06;

U.S. Class: Current: 704/256.4; 704/E19.024;
Original: 395/002.65;

Field of Search: 381/041-47 395/2.65,2.64,2.66

Priority Number:
1992-09-10  US1992000942862

Abstract: A speech coding apparatus compares the closeness of the feature value of a feature vector signal of an utterance to the parameter values of prototype vector signals to obtain prototype match scores for the feature vector signal and each prototype vector signal. The speech coding apparatus stores a plurality of speech transition models representing speech transitions. At least one speech transition is represented by a plurality of different models. Each speech transition model has a plurality of model outputs, each comprising a prototype match score for a prototype vector signal. Each model output has an output probability. A model match score for a first feature vector signal and each speech transition model comprises the output probability for at least one prototype match score for the first feature vector signal and a prototype vector signal. A speech transition match score for the first feature vector signal and each speech transition comprises the best model match score for the first feature vector signal and all speech transition models representing the speech transition. The identification value of each speech transition and the speech transition match score for the first feature vector signal and each speech transition are output as a coded utterance representation signal of the first feature vector signal.

Attorney, Agent or Firm: Schechter, Marc D. ; Tassinari, Robert P. ;

Primary / Asst. Examiners: Fleming, Michael R.; Doerrler, Michelle

Maintenance Status: E2 Expired  Check current status

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First Claim:
Show all 31 claims
We claim:     1. A speech coding apparatus comprising:
  • means for measuring the value of at least one feature of an utterance over each of a series of successive time intervals to produce a series of feature vector signals representing the feature values;
  • means for storing a plurality of prototype vector signals, each prototype vector signal having at least one parameter value;
  • means for comparing the closeness of the feature value of a first feature vector signal to the parameter values of the prototype vector signals to obtain prototype match scores for the first feature vector signal and each prototype vector signal;
  • means for storing a plurality of speech transition models, each speech transition model representing a speech transition from a vocabulary of speech transitions, each speech transition having an identification value, at least one speech transition being represented by a plurality of different speech transition models, each speech transition model having a plurality of speech transition model outputs, each speech transitions model output comprising a prototype match score for a prototype vector signal, each speech transition model having an output probability for each model output;
  • means for generating a model match score for the first feature vector signal and each speech transition model, each model match score comprising the output probability for at least one prototype match score for the first feature vector signal and a prototype vector signal;
  • means for generating a speech transition match score for the first feature vector signal and each speech transition, each speech transition match score comprising the best model match score for the first feature vector signal and all speech transition models representing the speech transition and
  • means for outputting the identification value of each speech transition and the speech transition match score for the first feature vector signal and each speech transition as a coded utterance representation signal of the first feature vector signal.


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Forward References: Show 30 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (30)   |   Backward references (5)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 35pp US4759068  1988-07 Bahl et al.  International Business Machines Corporation Constructing Markov models of words from multiple utterances
Get PDF - 33pp US4783804  1988-11 Juang et al.  American Telephone and Telegraph Company, AT&T Bell Laboratories Hidden Markov model speech recognition arrangement
Get PDF - 50pp US4977599  1990-12 Bahl et al.  International Business Machines Corporation Speech recognition employing a set of Markov models that includes Markov models representing transitions to and from silence
Get PDF - 45pp US4980918  1990-12 Bahl et al.  International Business Machines Corporation Speech recognition system with efficient storage and rapid assembly of phonological graphs
Get PDF - 13pp US5031217  1991-07 Nishimura  International Business Machines Corporation Speech recognition system using Markov models having independent label output sets
       
Foreign References: None

Other Abstract Info: DERABS G94-241240 DERG94-241240

Other References:
  • Bahl, L. R., et al. "Vector Quantization Procedure For Speech Recognition Systems Using Discrete Parameter Phoneme-Based Markov Word Models," IBM Technical Disclosure Bulletin, vol. 32, No. 7, Dec. 1989, pp. 320 and 321.
  • F. Jelinek, "Continuous Speech Recognition by Statistical Methods," Proceedings of the IEEE, vol. 64, No. 4, Apr. 1976, pp. 532-536. (25 pages) Cited by 30 patents


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