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Title: US5182773: Speaker-independent label coding apparatus
[ Derwent Title ]

Country: US United States of America

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27 pages

Inventor: Bahl, Lalit R.; Amawalk, NY
Picheny, Michael A.; White Plains, NY
Nahamoo, David; White Plains, NY
de Souza, Peter V.; Mahopac, NY

Assignee: International Business Machines Corporation, Yorktown Heights, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1993-01-26 / 1991-03-22

Application Number: US1991000673810

IPC Code: Advanced: G10L 15/02; G10L 19/00; G10L 19/02; H03M 7/30;
IPC-7: G10L 7/00; G10L 7/08;

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

U.S. Class: Current: 704/222; 704/E19.017;
Original: 381/041; 381/043;

Field of Search: 381/041,43,29-35

Priority Number:
1991-03-22  US1991000673810

Abstract: The present invention is related to speech recognition and particularly to a new type of vector quantizer and a new vector quantization technique in which the error rate of associating a sound with an incoming speech signal is drastically reduced. To achieve this end, the present invention technique groups the feature vectors in a space into different prototypes at least two of which represent a class of sound. Each of the prototypes may in turn have a number of subclasses or partitions. Each of the prototypes and their subclasses may be assigned respective identifying values. To identify an incoming speech feature vector, at least one of the feature values of the incoming feature vector is compared with the different values of the respective prototypes, or the subclasses of the prototypes. The class of sound whose group of prototypes, or at least one of the prototypes, whose combined value most closely matches the value of the feature value of the feature vector is deemed to be the class corresponding to the feature vector. The feature vector is then labeled with the identifier associated with that class.

Attorney, Agent or Firm: Pollock, Vande Sande & Priddy ;

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 76 claims
We claim:     1. A speech coding apparatus comprising:
  • means for storing a plurality of classes each having an identifier represented by at least two of a plurality of prototypes, each of the plurality of prototypes having at least one prototype value;
  • transducer means for extracting from an utterance a feature vector signal having at least one feature value;
  • means for establishing a match between the feature vector signal and at least one of the classes by selecting from the plurality of prototypes at least one prototype having a prototype value that best matches the feature value of the feature vector signal; and
  • means for coding the feature vector signal with the identifier of the class represented by the selected at least one prototype vector.

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Forward References: Show 19 U.S. patent(s) that reference this one

U.S. References: Go to Result Set: All U.S. references   |  Forward references (19)   |   Backward references (16)   |   Citation Link

Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 24pp US4032711  1977-06 Sambur  Bell Telephone Laboratories, Incorporated Speaker recognition arrangement
Get PDF - 13pp US4403114  1983-09 Sakoe  Nippon Electric Co., Ltd. Speaker recognizer in which a significant part of a preselected one of input and reference patterns is pattern matched to a time normalized part of the other
Get PDF - 54pp US4748670  1988-05 Bahl et al.  International Business Machines Corporation Apparatus and method for determining a likely word sequence from labels generated by an acoustic processor
Get PDF - 5pp US4773093  1988-09 Higgins et al.  ITT Defense Communications Text-independent speaker recognition system and method based on acoustic segment matching
Get PDF - 13pp US4783802  1988-11 Takebayashi et al.  Kabushiki Kaisha Toshiba Learning system of dictionary for speech recognition
Get PDF - 17pp US4802224  1989-01 Shiraki et al.  Nippon Telegraph and Telephone Corporation Reference speech pattern generating method
Get PDF - 24pp US4805219  1989-02 Baker et al.  Dragon Systems, Inc. Method for speech recognition
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 - 13pp US4827251  1989-05 Bahl et al.  Panafacom Limited Display control system with control of background luminance or color data
Get PDF - 14pp US4829577  1989-05 Kuroda et al.  International Business Machines Corporation Speech recognition method
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 - 27pp US4847906  1989-07 Ackenhusen  American Telephone and Telegraph Company, AT&T Bell Laboratories Linear predictive speech coding arrangement
Get PDF - 15pp US4926488  1990-05 Nadas et al.  International Business Machines Corporation Normalization of speech by adaptive labelling
Get PDF - 10pp US5023912  1991-06 Segawa  Kabushiki Kaisha Toshiba Pattern recognition system using posterior probabilities
Get PDF - 10pp US5046099  1991-09 Nishimura  International Business Machines Corporation Adaptation of acoustic prototype vectors in a speech recognition system
Foreign References: None

Other Abstract Info: DERABS G92-317457

Other References:
  • Bahl, L. R., et al. "Recognition Results With Several Experimental Acoustic Processors," 1979 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. ASSP-79, Apr. 1979, pp. 249-251.
  • 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.
  • Levinson, S. E., et al. "Interactive Clustering Techniques for Selecting Speaker-Independent Reference Templates for Isolated Word Recognition."
  • IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-27, No. 2, Apr. 1979, pp. 134-140.
  • Rabiner, L. R., et al. "Speaker-Independent Recognition of Isolated Words Using Clustering Techniques," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-27, No. 4, Aug. 1979, pp. 336-349. (14 pages) Cited by 9 patents
  • Wilpon, J. G., et al. "Isolated Word Recognition," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-33, No. 3, Jun. 1985, pp. 587-594. (8 pages) Cited by 7 patents
  • Cohen, Jordan R. "Application of an Auditory Model to Speech Recognition," J. AcousticalSociety of America, vol. 85, No. 6, Jun. 1989, pp. 2623-2629. (7 pages) Cited by 3 patents
  • Furui, Sadaoki "Speaker-Independent Isolated Word Recognition Using Dynamic Features of Speech Spectrum," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-34, No. 1, Feb. 1986, pp. 52-59. (8 pages) Cited by 2 patents
  • Fukunaga, K. "Introduction to Statistical Pattern Recognition" Academic Piers, 1972, Chapter 9, pp. 260-265.
  • Makhoul, John, et al. "Vector Quantization in Speech Coding," Proceedings of the IEEE, vol. 73, No. 11, Nov. 1985, pp. 1551-1588. (38 pages) Cited by 38 patents
  • 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, Mar. 1983, pp. 179-190. (12 pages) Cited by 42 patents

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