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


 The Delphion Integrated View

  Buy Now:   Buy PDF- 9pp  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: US6470314: Method and apparatus for rapid adapt via cumulative distribution function matching for continuous speech
[ Derwent Title ]
>> View Certificate of Correction for this publication


Country: US United States of America

View Images High
Resolution

 Low
 Resolution

 
9 pages

 
Inventor: Dharanipragada, Satyanarayana; Ossining, NY
Padmanabhan, Mukund; White Plains, NY

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: 2002-10-22 / 2000-04-06

Application Number: US2000000543794

IPC Code: Advanced: G10L 15/06;
IPC-7: G10L 15/02; G10L 15/06; G10L 15/08; G10L 15/12;

ECLA Code: G10L15/07;

U.S. Class: 704/231; 704/236; 704/239; 704/243;

Field of Search: 704/230-233,254-256,9,246,239,243

Priority Number:
2000-04-06  US2000000543794

Abstract:     A method of adapting a speech recognition system to one or more acoustic conditions comprises the steps of: (i) computing cumulative distribution functions based on dimensions of speech vectors associated with training speech data provided to the speech recognition system; (ii) computing cumulative distribution functions based on dimensions of speech vectors associated with test speech data provided to the speech recognition system; (iii) computing a nonlinear transformation mapping based on the cumulative distribution functions associated with the training speech data and the cumulative distribution functions associated with the test speech data; and (iv) applying the nonlinear transformation mapping to speech vectors associated with the test speech data prior to recognition, wherein the speech vectors transformed in accordance with the nonlinear transformation mapping are substantially similar to speech vectors associated with the training speech data.

Attorney, Agent or Firm: Otterstedt, Paul J.Ryan, Mason & Lewis, LLP ;

Primary / Asst. Examiners: Dorvil, Richemond; Nolan, Daniel

Maintenance Status: E1 Expired  Check current status
CC Certificate of Correction issued
View Certificate of Correction

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 37 claims
What is claimed is:     1. A method of adapting a speech recognition system to one or more acoustic conditions, the method comprising the steps of:
  • computing cumulative distribution functions based on dimensions of speech vectors associated with training speech data provided to the speech recognition system;
  • computing cumulative distribution functions based on dimensions of speech vectors associated with test speech data provided to the speech recognition system;
  • computing a nonlinear transformation mapping based on the cumulative distribution functions associated with the training speech data and the cumulative distribution functions associated with the test speech data; and
  • applying the nonlinear transformation mapping to speech vectors associated with the test speech data prior to recognition, wherein the speech vectors transformed in accordance with the nonlinear transformation mapping are substantially similar to speech vectors associated with the training speech data.


Background / Summary: Show background / summary

Drawing Descriptions: Show drawing descriptions

Description: Show description

Forward References: Show 7 U.S. patent(s) that reference this one

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

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 27pp US4897878  1990-01 Boll et al.  ITT Corporation Noise compensation in speech recognition apparatus
Get PDF - 20pp US5548647  1996-08 Naik et al.  Texas Instruments Incorporated Fixed text speaker verification method and apparatus
Get PDF - 19pp US5864810  1999-01 Digalakis et al.  SRI International Method and apparatus for speech recognition adapted to an individual speaker
Get PDF - 21pp US6026359  2000-02 Yamaguchi et al.  Nippon Telegraph and Telephone Corporation Scheme for model adaptation in pattern recognition based on Taylor expansion
Get PDF - 11pp US6151574  2000-11 Lee et al.  Lucent Technologies Inc. Technique for adaptation of hidden markov models for speech recognition
Get PDF - 13pp US6230125  2001-05 Vainio  Nokia Telecommunications Oy Processing speech coding parameters in a telecommunication system
Get PDF - 19pp US6263334  2001-07 Fayyad et al.  Microsoft Corporation Density-based indexing method for efficient execution of high dimensional nearest-neighbor queries on large databases
       
Foreign References: None

Other References:
  • Bellegarda et al ("Robust Speaker Adaptation using a Piecewise Linear Acoustic Mapping", 1992 IEEE International Conferencc on Acoustics, Speech, and Signal Processing, Mar. 1992 pp. 445-448 vol. 1).*
  • Reynolds et al ("The Effects Of Telephone Transmission Degradations On Speaker Recognition Performance", 1995 International Conference on Acoustics, Speech, and Signal Processing, May 1995).*
  • Yuk et al ("Telephone Speech Recognition Using Neural Networks And Hidden Markov Models", 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Mar. 1999).*
  • A. Sankar, "A Maximum-Likelihood Approach to Stochastic Matching for Robust Speech Recognition," IEEE Transactions on Speech and Audio Processing, vol. 4, No. 3, pp. 190-202, 1996. (13 pages) Cited by 4 patents [ISI abstract]
  • C.J. Leggetter et al., "Maximum Likelihood Linear Regression for Speaker Adaptation of Continuous Density Hidden Markov Models," Computer Speech and Language, Academic Press Limited, pp. 173-185, 1995.
  • L. Neumeyer et al., "Probabilistic Optimum Filtering for Robust Speech Recognition," IEEE, pp. I-417-I-420, 1994.
  • F-H. Liu et al., "Efficient Joint Compensation of Speech for the Effects of Additive Noise and Linear Filtering," ICASSP, 4 pages, 1992.


  • 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