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Title: US5425129: Method for word spotting in continuous speech
[ Derwent Title ]


Country: US United States of America

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6 pages

 
Inventor: Garman, Joseph H.; Washington, DC
Klein, Alice G.; Potomac, MD
Stanford, Vincent M.; Gaithersburg, MD

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1995-06-13 / 1992-10-29

Application Number: US1992000968097

IPC Code: Advanced: G10L 15/00; G10L 15/04; G10L 15/08; G10L 15/10; G10L 15/14; H04M 3/42;
Core: more...
IPC-7: G10L 5/06;

ECLA Code: G10L15/14M;

U.S. Class: Current: 704/256; 704/E15.028;
Original: 395/002.65;

Field of Search: 381/043,41-43 395/002,2.6-2.66,2.56-2.59

Priority Number:
1992-10-29  US1992000968097

Abstract: A digitized speech data channel is analyzes for the presence of words or phrases from a desired list. If the word is not present the speech time series from the channel, there is a high probability of matching the input data to phonemic noise markers rather than to word models. This is accomplished through the use of a competitive algorithm wherein Hidden Markov Models (HMMs) of the desired words or phrases compete with an alternative HMM of a set of phonemes. The set of phonemes can be chosen in order to reduce the computer resources required for the channel analysis.

Attorney, Agent or Firm: McKinley, Martin J. ;

Primary / Asst. Examiners: Knepper, David D.;

Maintenance Status: E2 Expired  Check current status

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First Claim:
Show all 8 claims
What is claimed is:     1. In a speech recognition system, a subsystem for spotting pre-specified words, comprising:
  • a sub-word model analyzer using context independent phoneme models and having an input connected to a source of continuous speech;
  • a full-word model analyzer using triphone based models which may coincide with the context independent phoneme models, the full-word model analyzer [and]having an input connected to said source of continuous speech;
  • said sub-word model analyzer having a first threshold output signal indicative of the presence of one or more said phoneme models;
  • said full-word model analyzer having a second threshold indicative of the probability of the presence of a pre-specified word, represented by a triphone based model; and
  • a pre-specified word detecting means having an input coupled to said sub-word model analyzer, for receiving said first threshold output, and coupled to said full-word model analyzer, for receiving said second threshold, and in response thereto, identifying a pre-specified word to be spotted, provided the probability of the presence of the pre-specified word, represented as a triphone model is greater than the probability of the presence of the phoneme model.


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Forward References: Show 29 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (29)   |   Backward references (19)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 13pp US4069393  1978-01 Martin et al.  Threshold Technology, Inc. Word recognition apparatus and method
Get PDF - 17pp US4087630  1978-05 Browning et al.  Centigram Corporation Continuous speech recognition apparatus
Get PDF - 15pp US4144582  1979-03 Hyatt   Voice signal processing system
Get PDF - 19pp US4461024  1984-07 Rengger et al.  The Secretary of State for Industry in Her Britannic Majesty's Government of the United Kingdom of Great Britain and Northern Ireland Input device for computer speech recognition system
Get PDF - 27pp US4481593  1984-11 Bahler  Exxon Corporation Continuous speech recognition
Get PDF - 24pp US4489435  1984-12 Moshier  Exxon Corporation Method and apparatus for continuous word string recognition
Get PDF - 16pp US4718088  1988-01 Baker et al.  Exxon Research and Engineering Company Speech recognition training method
Get PDF - 27pp US4720802  1988-01 Damoulakis et al.  Lear Siegler Noise compensation arrangement
Get PDF - 50pp US4783803  1988-11 Baker et al.  Dragon Systems, Inc. Speech recognition apparatus and method
Get PDF - 22pp US4805218  1989-02 Bamberg et al.  Dragon Systems, Inc. Method for speech analysis and speech recognition
Get PDF - 15pp US4829572  1989-05 Kong  Chung; Andrew Ho Speech recognition system
Get PDF - 11pp US4856066  1989-08 Lemelson   Speech communication system and method
Get PDF - 27pp US4897878  1990-01 Boll et al.  ITT Corporation Noise compensation in speech recognition apparatus
Get PDF - 8pp US4905286  1990-02 Sedgwick et al.  National Research Development Corporation Noise compensation in speech recognition
Get PDF - 6pp US4922538  1990-05 Tchorzewski  British Telecommunications public limited company Multi-user speech recognition system
Get PDF - 18pp US4933973  1990-06 Porter  ITT Corporation Apparatus and methods for the selective addition of noise to templates employed in automatic speech recognition systems
Get PDF - 48pp US5027406  1991-06 Roberts et al.  Dragon Systems, Inc. Method for interactive speech recognition and training
Get PDF - 12pp US5036538  1991-07 Oken et al.  Telephonics Corporation Multi-station voice recognition and processing system
Get PDF - 7pp US5170432  1992-12 Hackbarth et al.  Alcatel N.V. Method of speaker adaptive speech recognition
       
Foreign References:
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Publication Date IPC Code Assignee   Title
Get PDF - 48pp EP0215573 1986-08  G10L 5/06 NAT RES DEV Apparatus and methods for speech recognition 


Other Abstract Info: DERABS G95-008825

Other References:
  • Marcus et al., "A Variable Duration Acoustic HMM for Hard-To-Recognize Words And Phrases," IEEE/ICASSP, 14-17 May 1991, pp. 281-284.
  • Lee et al., "Corrective and Reinforcement Learning for Speaker Independent Continuous Speech Recognition", Computer and Language, 199, pp. 1-21.
  • Chris Rowden, "Speech Processing", McGraw-Hill, 1992, pp. 246-247.
  • IEEE Article by K. F. Lee & H. W. Hon, "Large Vocabulary Speaker Independent (CH2561-9/88/ Continuous Speech Recognition Using HMM," 1988, pp. 123-126, 00000-0123).


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