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Title: US5280562: Speech coding apparatus with single-dimension acoustic prototypes for a speech recognizer
[ Derwent Title ]


Country: US United States of America

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13 pages

 
Inventor: Bahl, Lalit R.; Amawalk, NY
Bellegarda, Jerome R.; Goldens Bridge, NY
Epstein, Edward A.; Putnam Valley, NY
Lucassen, John M.; Yorktown Heights, 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: 1994-01-18 / 1991-10-03

Application Number: US1991000770495

IPC Code: Advanced: G10L 15/02; G10L 19/00; G10L 19/02; H03M 7/30;
IPC-7: G10L 9/02;

ECLA Code: G10L19/038; H03M7/30V;

U.S. Class: Current: 704/200; 704/E19.017;
Original: 395/002;

Field of Search: 381/029-52 395/002

Priority Number:
1991-10-03  US1991000770495

Abstract:     In speech recognition and speech coding, the values of at least two features of an utterance are measured during a series of time intervals to produce a series of feature vector signals. A plurality of single-dimension prototype vector signals having only one parameter value are stored. At least two single-dimension prototype vector signals having parameter values representing first feature values, and at least two other single-dimension prototype vector signals have parameter values representing second feature values. A plurality of compound-dimension prototype vector signals have unique identification values and comprise one first-dimension and one second-dimension prototype vector signal. At least two compound-dimension prototype vector signals comprise the same first-dimension prototype vector signal. The feature values of each feature vector signal are compared to the parameter values of the compound-dimension prototype vector signals to obtain prototype match scores. The identification values of the compound-dimension prototype vector signals having the best prototype match scores for the feature vectors signals are output as a sequence of coded representations of an utterance to be recognized. A match score, comprising an estimate of the closeness of a match between a speech unit and the sequence of coded representations of the utterance, is generated for each of a plurality of speech units. At least one speech subunit, of one or more best candidate speech units having the best match scores, is displayed.

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

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

Maintenance Status: E3 Expired  Check current status

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Designated Country: DE FR GB IT 

Family: Show 10 known family members

First Claim:
Show all 28 claims
We claim:     1. A speech coding apparatus comprising:
  • means for measuring the values of at least first and second different features of an utterance during 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 single-dimension prototype vector signals, each single-dimension prototype vector signal having at least one parameter value, at least two single-dimension prototype vector signals being first-dimension prototype vector signals having parameter values representing first feature values, at least two other single-dimension prototype vector signals being second-dimension prototype vector signals having parameter values representing second feature values;
  • means for storing a plurality of compound-dimension prototype vector signals, each compound-dimension prototype vector signal having a unique identification value, each compound-dimension prototype vector signal comprising one first-dimension prototype vector signal and one second-dimension prototype vector signal, at least two compound-dimension prototype vector signals comprising the same first-dimension prototype vector signal;
  • means for comparing the closeness of the feature values of a feature vector signal to the parameter values of the compound-dimension prototype vector signals to obtain prototype match scores for the feature vector signal and each compound-dimension prototype vector signal; and
  • means for outputting at least the identification value of the compound-dimension prototype vector signal having the best prototype match score as a coded representation signal of the feature vector signal.


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Forward References: Show 15 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (15)   |   Backward references (6)   |   Citation Link

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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 - 15pp US4926488  1990-05 Nadas et al.  International Business Machines Corporation Normalization of speech by adaptive labelling
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
Get PDF - 27pp US5182773  1993-01 Bahl et al.  International Business Machines Corporation Speaker-independent label coding apparatus
       
Foreign References: None

Other Abstract Info: DERABS G93-110737

Other References:
  • Bahl, L. R., et al. "Acoustic Markov Models Used in the Tangora Speech Recognition System", Proceedings 1988 International Conference on Acoustics, Speech, and Signal Processing, New York, N.Y., pp. 497-500, Apr. 1988.
  • Bahl, L. R., et al., "Fast Algorithm For Deriving Acoustic Prototypes for Automatic Speech Recognition", U.S. patent application Ser. No. 730,714, filed Jul. 16, 1991.
  • Bahl, L. R., et al., "A Maximum Likelihood Approach to Continuous Speech Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-5, No. 2, pp. 179-190, Mar. 1983. (12 pages) Cited by 42 patents
  • 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.
  • Brown, P. F., et al., "Automatic Determination of Fenemic Labels and Fenemic-Based Markov Word Models for Speech Recognition", U.S. patent application Ser. No. 431,720, filed Nov. 2, 1989.
  • Jelinek, F., "The Development of an Experimental Discrete Dictation Recognizer", Proceedings IEEE, vol. 73, No. 11, pp. 1616-1624, Nov. 1985. (9 pages) Cited by 4 patents
  • Nadas, A., et al., "Continuous Speech Recognition with automatically Selected Prototypes Using Either Boot strapping or Clustering", Proceedings 1981 International Conference on Acoustics, Speech, and Signal Processing, Atlanta, Ga., pp. 1153-1156, Apr. 1981.


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