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Title: US5222146: Speech recognition apparatus having a speech coder outputting acoustic prototype ranks
[ Derwent Title ]


Country: US United States of America

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12 pages

 
Inventor: Bahl, Latit R.; Amawalk, NY
De Souza, Peter V.; Mahopac Falls, NY
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: 1993-06-22 / 1991-10-23

Application Number: US1991000781440

IPC Code: Advanced: G10L 15/02; G10L 15/14; G10L 19/00;
IPC-7: G10L 3/02; G10L 5/00; G10L 5/06;

ECLA Code: G10L15/02; G10L19/00S;

U.S. Class: Current: 704/243; 704/233; 704/234; 704/244; 704/252; 704/E15.004; 704/E19.007;
Original: 381/041; 381/030; 381/036; 381/043;

Field of Search: 381/030,31,36,41,43,44,52

Priority Number:
1991-10-23  US1991000781440

Abstract: A speech coding and speech recognition apparatus. The value of at least one feature of an utterance is measured over each of a series of successive time intervals to produce a series of feature vector signals. The closeness of the feature value of each feature vector signal to the parameter value of each of a set of prototype vector signals is determined to obtain prototype match scores for each vector signal and each prototype vector signal. For each feature vector signal, first-rank and second-rank scores are associated with the prototype vector signals having the best and second best prototype match scores, respectively. For each feature vector signal, at least the identification value and the rank score of the first-ranked and second-ranked prototype vector signals are output as a coded utterance representation signal of the feature vector signal, to produce a series of coded utterance representation signals. For each of a plurality of speech units, a probabilistic model has a plurality of model outputs, and output probabilities for each model output. Each model output comprises the identification value of a prototype vector and a rank score. For each speech unit, a match score comprises an estimate of the probability that the probabilistic model of the speech unit would output a series of model outputs matching a reference series comprising the identification value and rank score of at least one prototype vector from each coded utterance representation signal in the series of coded utterance representation signals.

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

Primary / Asst. Examiners: Shaw, Dale M.; Tung, Kee M.

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Designated Country: DE FR GB IT 

Family: Show 10 known family members

First Claim:
Show all 27 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 and having a unique identification 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;
  • ranking means for associating a first-rank score with the prototype vector signal having the best prototype match score, and for associating a second-rank score with the prototype vector signal having the second best prototype match score; and
  • means for outputting at least the identification value and the rank score of the prototype vector signal having the first-rank score, and the identification value and the rank score of the prototype vector signal having the second-rank score, as a coded utterance representation signal of the first feature vector signal.


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Forward References: Show 40 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (40)   |   Backward references (18)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 23pp US4435617  1984-03 Griggs   Speech-controlled phonetic typewriter or display device using two-tier approach
Get PDF - 20pp US4587670  1986-05 Levinson et al.  AT&T Bell Laboratories Hidden Markov model speech recognition arrangement
Get PDF - 20pp US4624011  1986-11 Watanabe et al.  Tokyo Shibaura Denki Kabushiki Kaisha Speech recognition system
Get PDF - 79pp US4718094  1988-01 Bahl et al.  International Business Machines Corp. Speech recognition system
Get PDF - 16pp US4805207  1989-02 McNutt et al.  Wang Laboratories, Inc. Message taking and retrieval system
Get PDF - 30pp US4817156  1989-03 Bahl et al.  International Business Machines Corporation Rapidly training a speech recognizer to a subsequent speaker given training data of a reference speaker
Get PDF - 20pp US4819271  1989-04 Bahl et al.  International Business Machines Corporation Constructing Markov model word baseforms from multiple utterances by concatenating model sequences for word segments
Get PDF - 8pp US4831653  1989-05 Katayama  Canon Kabushiki Kaisha System for registering speech information to make a voice dictionary
Get PDF - 39pp US4837831  1989-06 Gillick et al.  Dragon Systems, Inc. Method for creating and using multiple-word sound models in speech recognition
Get PDF - 18pp US4918731  1990-04 Muroi  Ricoh Company, Ltd. Speech recognition method and apparatus
Get PDF - 15pp US4926488  1990-05 Nadas et al.  International Business Machines Corporation Normalization of speech by adaptive labelling
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 - 8pp US5020107  1991-05 Rohani et al.  Motorola, Inc. Limited vocabulary speech recognition system
Get PDF - 13pp US5031217  1991-07 Nishimura  International Business Machines Corporation Speech recognition system using Markov models having independent label output sets
Get PDF - 22pp US5040213  1991-08 Yasuda et al.  Ricoh Company, Ltd. Method of renewing reference pattern stored in dictionary
Get PDF - 10pp US5046099  1991-09 Nishimura  International Business Machines Corporation Adaptation of acoustic prototype vectors in a speech recognition system
Get PDF - 31pp US5058167  1991-10 Kimura  Fujitsu Limited Speech recognition device
Get PDF - 28pp US5072452  1991-12 Brown et al.  International Business Machines Corporation Automatic determination of labels and Markov word models in a speech recognition system
       
Foreign References: None

Other Abstract Info: DERABS G93-135904

Other References:
  • Bahl, L. R., et al. "Speaker-Independent Label Coding Apparatus." U.S. patent application Ser. No. 673,810, filed Mar. 22, 1991.
  • 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. 320-321.
  • Jelinek, F. "Continuous Speech Recognition by Statistical Methods." Proceedings of the IEEE, vol. 64, No. 4, pp. 532-556, Apr. 1976. (25 pages) Cited by 30 patents
  • Jelinek, F., et al. "Interpolated Estimation of Markov Source Parameters From Sparse Data." Pattern Recognition in Practice, pp. 381-402, 1980.


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