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Title: US6073096: Speaker adaptation system and method based on class-specific pre-clustering training speakers
[ Derwent Title ]


Country: US United States of America

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12 pages

 
Inventor: Gao, Yuqing; Mount Kisco, NY
Padmanabhan, Mukund; Ossining, NY
Picheny, Michael Alan; White Plains, 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: 2000-06-06 / 1998-02-04

Application Number: US1998000018350

IPC Code: Advanced: G10L 15/06;
IPC-7: G10L 15/06;

ECLA Code: G10L15/07;

U.S. Class: Current: 704/245; 704/255; 704/E15.011;
Original: 704/245; 704/255;

Field of Search: 704/231,238,245,250,255,256

Priority Number:
1998-02-04  US1998000018350

Abstract:     A method of speech recognition, in accordance with the present invention includes the steps of grouping acoustics to form classes based on acoustic features, clustering training speakers by the classes to provide class-specific cluster systems, selecting from the cluster systems, a subset of cluster systems closest to adaptation data from a test speaker, transforming the subset of cluster systems to bring the subset of cluster systems closer to the test speaker based on the adaptation data to form adapted cluster systems and combining the adapted cluster systems to create a speaker adapted system for decoding speech from the test speaker. System and methods for building speech recognition systems as well as adapting speaker systems for class-specific speaker clusters are included.

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

Primary / Asst. Examiners: Hudspeth, David R.; Lerner, Martin

Maintenance Status: E2 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 42 claims
What is claimed is:     1. A method of speech recognition comprising the steps of:
  • grouping acoustics to form classes based on acoustic features;
  • clustering training speakers by the classes to provide class-specific cluster systems;
  • selecting from the cluster systems, a subset of cluster systems closest to adaptation data from a speaker;
  • transforming the subset of cluster systems to bring the subset of cluster systems closer to the speaker based on the adaptation data to form adapted cluster systems; and
  • combining the adapted cluster systems to create a speaker adapted system for decoding speech from the speaker.


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Forward References: Show 39 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (39)   |   Backward references (9)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 16pp US5598507  1997-01 Kimber et al.  Xerox Corporation Method of speaker clustering for unknown speakers in conversational audio data
Get PDF - 16pp US5659662  1997-08 Wilcox et al.  Xerox Corporation Unsupervised speaker clustering for automatic speaker indexing of recorded audio data
Get PDF - 12pp US5787394  1998-07 Bahl et al.  International Business Machines Corporation State-dependent speaker clustering for speaker adaptation
Get PDF - 26pp US5793891  1998-08 Takahashi et al.  Nippon Telegraph and Telephone Corporation Adaptive training method for pattern recognition
Get PDF - 15pp US5812975  1999-04 Komori et al.  Canon Kabushiki Kaisha State transition model design method and voice recognition method and apparatus using same
Get PDF - 12pp US5835890  1998-10 Matsui et al.  Nippon Telegraph and Telephone Corporation Method for speaker adaptation of speech models recognition scheme using the method and recording medium having the speech recognition method recorded thereon
Get PDF - 19pp US5864810  1999-01 Digalakis et al.  SRI International Method and apparatus for speech recognition adapted to an individual speaker
Get PDF - 8pp US5895447  1999-04 Ittycheriah et al.  International Business Machines Corporation Speech recognition using thresholded speaker class model selection or model adaptation
Get PDF - 26pp US5983178  1999-11 Naito et al.  ATR Interpreting Telecommunications Research Laboratories Speaker clustering apparatus based on feature quantities of vocal-tract configuration and speech recognition apparatus therewith
       
Foreign References: None

Other References:
  • X.D. Huang, "A Study on Speaker-Adaptive Speech Recognition", School of Computer Science, Carnegie Mellon University, Pittsburg, PA, pp. 278-283.
  • Richard Schwartz et al., "Comparative Experiments on Large Vocabulary Speech Recognition", BBN Systems & Technologies, Cambridge, MA, pp. 75-80.
  • F. Alleva et al., "Applying Sphinx-II to the DARPA Wall Street Journal CSR Task", School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, pp. 393-398.
  • Jean-Luc Gauvain et al., "Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains", IEEE Transactions on Speech and Audio Processing, vol. 2, No. 2, Apr. 1994, pp. 291-298.
  • C. J. Leggetter et al., "Maximum Likelihood Linear Regression for Speaker Adaptation of Continuous Density Hidden Markov Models", Computer Speech and Language, 1995, 9, pp. 171-185. (15 pages) Cited by 14 patents [ISI abstract]
  • Tetsuo Kosaka et al., "Speaker-independent Speech Recognition Based on Tree-structured Speaker Clustering", Computer Speech and Language, 1996, 10, pp. 55-74. (20 pages) Cited by 3 patents [ISI abstract]
  • M. Padmanabhan et al., "Speaker Clustering and Transformation for Speaker Adaptation in Large-Vocabulary Speech Recognition Systems", Apr. 1996, ©1995 IEEE.
  • M. Yamada et al., "Fast Algorithm for Speech Recognition Using Speaker Cluster HMM", ESCA, Eurospeech97, Rhodes Greece, ISSN 1018-4074, pp. 2043-2046.
  • Timothy J. Hazen et al., "A Comparison of Novel Techniques for Instantaneous Speaker Adaptation1 ", ESCA, Eurospeech97, Greece, ISSN 1018-4074, pp. 2047-2050.


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