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Title: US6023673: Hierarchical labeler in a speech recognition system
[ Derwent Title ]


Country: US United States of America

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Inventor: Bakis, Raimo; Brewster, NY
Nahamoo, David; White Plains, NY
Picheny, Michael Alan; White Plains, NY
Sedivy, Jan; Praha, Czech Republic

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 2000-02-08 / 1997-06-04

Application Number: US1997000869061

IPC Code: IPC-7: G10L 5/06; G10L 9/00;

ECLA Code: G10L15/08N;

U.S. Class: Current: 704/231; 704/236; 704/243;
Original: 704/231; 704/236; 704/243;

Field of Search: 704/231,243,254,236

Priority Number:
1997-06-04  US1997000869061

Abstract:     A speech coding apparatus and method uses a hierarchy of prototype sets to code an utterance while consuming fewer computing resources. The value of at least one feature of an utterance is measured during each of a series of successive time intervals to produce a series of feature vector signals representing the feature values. A plurality of level subsets of prototype vector signals is computed, wherein each prototype vector signal in a higher level subset is associated with at least one prototype vector signal in a lower level subset. Each level subset contains a plurality of prototype vector signals, with lower level subsets containing more prototypes than higher level subsets. The closeness of the feature value of the first feature vector signal is compared to the parameter values of prototype vector signals in the first level subset of prototype vector signals to obtain a ranked list of prototype match scores for the first feature vector signal and each prototype vector signal in the first level subset. The closeness of the feature value of the first feature vector signal is compared to the parameter values of each prototype vector signal in a second (lower) level subset that is associated with the highest ranking prototype vectors in the first level subset, to obtain a second ranked list of prototype match scores. The identification value of the prototype vector signal in the second ranked list having the best prototype match score is output as a coded utterance representation signal of the first feature vector signal.

Attorney, Agent or Firm: F. Chau & Associates, LLP ;

Primary / Asst. Examiners: Hudspeth, David R.; Sax, Robert Louis

Maintenance Status: E2 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Parent Case:

CROSS REFERENCE TO RELATED APPLICATIONS
    U.S. Pat. No. 5,522,011, issued on May 28, 1996 and commonly owned by the present assignee, is incorporated herein by reference.

Family: None

First Claim:
Show all 23 claims
What is claimed is:     1. A method for assigning a label to a segment of speech to be recognized, comprising the steps of:
  • providing a hierarchical fast ranking tree comprising a plurality of levels of subsets of prototypes, each prototype in a higher level subset being associated with one or more prototypes in a lower level subset;
  • inputting a feature vector signal representing the segment of speech to be recognized;
  • comparing the features of the vector signal with the features of the prototypes in a first level to find a first ranked list of the closest prototypes to the feature vector signal at that level;
  • comparing the features of the feature vector signal to the prototypes in a second level subset associated with the highest ranking prototypes in the first ranked list of prototypes, to find a second ranked list of the closest prototypes to the feature vector signal in the second level;
  • assigning the label associated with the highest ranking prototype in the lowest level subset to the feature vector signal; and
  • predictive labeling wherein the highest ranking prototype in the lowest level subset is assigned to a second feature vector signal which represents another segment of speech to be recognized if a distance between the second feature vector signal and the first feature vector signal is at least less than a predetermined threshold.


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Forward References: Show 31 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (31)   |   Backward references (12)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
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 US4876720  1989-10 Kaneko et al.  International Business Machines Corporation Speech recognition system
Get PDF - 31pp US5033087  1991-07 Bahl et al.  International Business Machines Corp. Method and apparatus for the automatic determination of phonological rules as for a continuous speech recognition system
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
Get PDF - 9pp US5165007  1992-11 Bahl et al.  International Business Machines Corporation Feneme-based Markov models for words
Get PDF - 27pp US5182773  1993-01 Bahl et al.  International Business Machines Corporation Speaker-independent label coding apparatus
Get PDF - 12pp US5222146  1993-06 Bahl et al.  International Business Machines Corporation Speech recognition apparatus having a speech coder outputting acoustic prototype ranks
Get PDF - 13pp US5278942  1994-01 Bahl et al.  International Business Machines Corporation Speech coding apparatus having speaker dependent prototypes generated from nonuser reference data
Get PDF - 13pp US5280562  1994-01 Bahl et al.  International Business Machines Corporation Speech coding apparatus with single-dimension acoustic prototypes for a speech recognizer
Get PDF - 17pp US5522011  1996-05 Epstein et al.  International Business Machines Corporation Speech coding apparatus and method using classification rules
Get PDF - 17pp US5729656  1998-03 Nahamoo et al.  International Business Machines Corporation Reduction of search space in speech recognition using phone boundaries and phone ranking
       
Foreign References: None

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