Work Files Saved Searches
   My Account                                                  Search:   Quick/Number   Boolean   Advanced       Help   


 The Delphion Integrated View

  Buy Now:   Buy PDF- 15pp  PDF  |   File History  |   Other choices   
  Tools:  Citation Link  |  Add to Work File:    
  View:  Expand Details   |  INPADOC   |  Jump to: 
 
 Email this to a friend  Email this to a friend 
       
Title: US5050215: Speech recognition method
[ Derwent Title ]


Country: US United States of America

View Images High
Resolution

 Low
 Resolution

 
15 pages

 
Inventor: Nishimura, Masafumi; Kanagawa, Japan

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
 News, Profiles, Stocks and More about this company

Published / Filed: 1991-09-17 / 1990-05-10

Application Number: US1990000524689

IPC Code: Advanced: G10L 11/00; G10L 15/06; G10L 15/14;
IPC-7: G10L 5/00; G10L 5/04; G10L 5/06;

ECLA Code: G10L15/14; T05K999/99;

U.S. Class: Current: 704/256.4; 704/244; 704/245;
Original: 381/041; 381/043;

Field of Search: 381/041-45 364/513.5

Priority Number:
1987-10-12  JP1987000254821

Abstract:     The present invention relates to a speech recognition system including Markov models which are adapted to be trained by an initial training label set and initial training speech using adaptation speech, and are used to recognise input speech. According to the invention, the system is characterised in that it comprises means for interpreting the adaptation speech into adaptation label strings using an adaptation label set; means for connecting each label in each of the adaptation label strings with each state or each state transition of a Markov model which corresponds to the adaptation label strings concerned; means for determining the confusion probability of each label in the initial training label set and each label in the adaptation label set being confused with each other, based on the connection between each label in the adaptation label set and each of the states or state transitions, and the parameter values of the Markov model concerned with the initial training set; and means for determining parameter values of each of the Markov models with respect to the adaptation label set, based on the confusion probabilities and the parameter values of the Markov model concerned with the initial label set.

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

Primary / Asst. Examiners: Kemeny, Emanuel S.; Knepper, David D.

Maintenance Status: E3 Expired  Check current status

INPADOC Legal Status: Show legal status actions          Buy Now: Family Legal Status Report

       
Related Applications:
Application Number Filed Patent Pub. Date  Title
US1988000256886 1988-10-12       


       
Parent Case:     This is a continuation of application Ser. No. 256,886, filed Oct. 12, 1988, now abandoned.

Designated Country: DE FR GB 

Family: Show 10 known family members

First Claim:
Show all 11 claims
I claim:     1. In a speech recognition method wherein Markov models trained by an initial training label set and initial training speech are adapted using adaptation speech, an improvement comprising:
  • interpreting said adaptation speech into adaptation label strings using an adaptation label set different from said initial training label set;
  • connecting each label in each of said adaptation label strings with each state or each state transition of a Markov model which corresponds to the adaptation label strings concerned;
  • determining a confusion probability of each label in said initial training label set and each label in said adaptation label set being confused with each other, based on connection between each label in said adaptation label set and each of said states or state transitions, and parameter values of the Markov model concerned in respect of said initial training set; and
  • determining parameter values of each of said Markov models in respect of said adaptation label set, based on said confusion probabilities and said parameter values of the Markov model concerned in respect of said initial label set.


Background / Summary: Show background / summary

Drawing Descriptions: Show drawing descriptions

Description: Show description

Forward References: Show 57 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (57)   |   Backward references (7)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 79pp US4718094  1988-01 Bahl et al.  International Business Machines Corp. Speech recognition system
Get PDF - 13pp US4741036  1988-04 Bahl et al.  International Business Machines Corporation Determination of phone weights for markov models in a speech recognition system
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 - 35pp US4759068  1988-07 Bahl et al.  International Business Machines Corporation Constructing Markov models of words from multiple utterances
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 - 32pp US4827521  1989-05 Bahl et al.  International Business Machines Corporation Training of markov models used in a speech recognition system
Get PDF - 14pp US4829577  1989-05 Kuroda et al.  International Business Machines Corporation Speech recognition method
       
Foreign References:
Buy
PDF
Publication Date IPC Code Assignee   Title
  JP61016993 1986-03       
  JP61065030 1986-06       
Buy PDF- 24pp GB2188181 1987-09  G10L 11/00 AGENCY IND SCIENCE TECHN Speech recognition 


Other Abstract Info: DERABS G89-116297

Other References:
  • Niitsu et al., "A Method of Using Linguistic Information for Automatic Spoken Word Recognition", Systems-Computers-Controls, vol. 10, Jan.-Feb. 1979, pp. 17-26.
  • Rabiner et al., "Speaker-Independent Recognition of Isolated Words Using Clustering Techniques", IEEE Trans on ASSP, vol. ASSP-27, No. 4, Aug. 1979, pp. 336-349. (14 pages) Cited by 9 patents
  • Schwartz, R. et al., "Rapid Speaker . . . ", Proc. ICASSP, 15-3, Mar. 1987, pp. 633-636.
  • Shikano, K., "Speaker . . . ", Trans. IECE Japan, SP86-65, Dec. 1986, pp. 33-40.
  • Sugawara, K. et al., "Isolated Word . . . ", Proc. ICASSP, 1-1, Mar. 1985, pp. 1-4.
  • Sugawara, K. et al., "Speaker . . . ", Proc. ICASSP, 49-11, Apr. 1986, pp. 2267-2270.
  • Bahl, L. R. et al., "A Maximum . . . ", IEEE Trans. on Pattern Analysis and Mach. Intell., vol. PAMI-5, No. 2, Mar. 1983, pp. 179-190. (12 pages) Cited by 42 patents
  • Jelinek, F., "Continuous . . . ", Proc. IEEE, vol. 64, No. 4, Apr. 1976, pp. 532-556. (25 pages) Cited by 30 patents
  • Levinson, S. E. et al., "An Introduction . . . ", Bell Sys. Tech. J., vol. 62, No. 4, Apr. 1983, pp. 1035-1074. (40 pages) Cited by 21 patents
  • Nishimura et al., "Speaker Adaptation Method for HMM-Based Speech Recognition", 1988 Int'l. Conf. on Acoustics, Speech, and Signal Processing, New York, pp. 207-210.


  • Inquire Regarding Licensing

    Powered by Verity


    Plaques from Patent Awards      Gallery of Obscure PatentsNominate this for the Gallery...

    Thomson Reuters Copyright © 1997-2014 Thomson Reuters 
    Subscriptions  |  Web Seminars  |  Privacy  |  Terms & Conditions  |  Site Map  |  Contact Us  |  Help