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Title: US6178401: Method for reducing search complexity in a speech recognition system
[ Derwent Title ]


Country: US United States of America

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8 pages

 
Inventor: Franz, Martin; Yorktown Heights, NY
Novak, Miroslav; Mohegan Lake, 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: 2001-01-23 / 1998-08-28

Application Number: US1998000143331

IPC Code: Advanced: G10L 15/08; G10L 15/18;
IPC-7: G10L 15/04;

ECLA Code: G10L15/183; G10L15/08; S10L15/08P;

U.S. Class: Current: 704/255; 704/238; 704/250; 704/E15.014; 704/E15.019;
Original: 704/255; 704/238; 704/250;

Field of Search: 704/200,243,255,256,9,246,247,242,252,253,231,238,239,240,249,250

Priority Number:
1998-08-28  US1998000143331

Abstract:     A method is provided for reducing search complexity in a speech recognition system having a fast match, a detailed match, and a language model. Based on at least one predetermined variable, the fast match is optionally employed to generate candidate words and acoustic scores corresponding to the candidate words. The language model is employed to generate language model scores. The acoustic scores are combined with the language model scores and the combined scores are ranked to determine top ranking candidate words to be later processed by the detailed match, when the fast match is employed. The detailed match is employed to generate detailed match scores for the top ranking candidate words.

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

Primary / Asst. Examiners: Dorvil, Richemond;

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 21 claims
What is claimed is:     1. A method for reducing search complexity in a speech recognition system having a fast match, a detailed match, and a language model, comprising the steps of:
  • (a) optionally employing the fast match to generate candidate words and acoustic scores corresponding to the candidate words, based on at least one predetermined variable;
  • (b) employing the language model to generate language model scores;
  • (c) combining the acoustic scores with the language model scores and ranking the combined scores to determine top ranking candidate words to be later processed by the detailed match, when the fast match is employed; and
  • (d) employing the detailed match to generate detailed match scores for the top ranking candidate words.


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Forward References: Show 18 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (18)   |   Backward references (5)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 16pp US5444617  1995-08 Merialdo  International Business Machines Corporation Method and apparatus for adaptively generating field of application dependent language models for use in intelligent systems
Get PDF - 24pp US5884259  1999-03 Bahl et al.  International Business Machines Corporation Method and apparatus for a time-synchronous tree-based search strategy
Get PDF - 15pp US5897616  1999-04 Kanevsky et al.  International Business Machines Corporation Apparatus and methods for speaker verification/identification/classification employing non-acoustic and/or acoustic models and databases
Get PDF - 11pp US5963905  1999-10 Novak et al.  International Business Machines Corporation Method and apparatus for improving acoustic fast match speed using a cache for phone probabilities
Get PDF - 14pp US6067514  2000-05 Chen  International Business Machines Corporation Method for automatically punctuating a speech utterance in a continuous speech recognition system
       
Foreign References: None

Other References:
  • International Conference on Acoustics, Speech and Signal Processing. Dharanmipragada et al., "A fast vocabulary independent algorithm for spotting words in speech". pp. 233-236 vol. 1, May 1998. *
  • IBM Research Division. Bahl et al., "Matrix Fast Match: A fast method for identifying a short list of candidate words for decoding", pp. 345-348, May 1998. *
  • A Fast Approximate Acoustic Match for Large Vocabulary Speech Recognition, Bahl et al., IEEE Transactions on Speech and Audio Processing, vol. 1, No. 1, Jan. 1993, pp. 59-67.
  • A Tree Search Strategy for Large-Vocabulary Continuous Speech Recognition, Gopalakrishnan et al., IEEE, pp. 572-575.


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