Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2006-04-18
2006-04-18
Storm, Donald L. (Department: 2654)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S254000
Reexamination Certificate
active
07031918
ABSTRACT:
Unsupervised speech data is provided to a speech recognizer that recognizes the speech data and outputs a recognition result along with a confidence measure for each recognized word. A task-related acoustic model is generated based on the recognition result, the speech data and the confidence measure. Additional task independent model can be used. The speech data can be weighted by the confidence measure in generating the acoustic model so that only data that has been recognized with a high degree of confidence will weigh heavily in generation of the acoustic model. The acoustic model can be formed from a Gaussian mean and variance of the data.
REFERENCES:
patent: 4994983 (1991-02-01), Landell et al.
patent: 5675707 (1997-10-01), Gorin et al.
patent: 5675710 (1997-10-01), Lewis
patent: 6021384 (2000-02-01), Gorin et al.
patent: 6061653 (2000-05-01), Fisher et al.
patent: 6173261 (2001-01-01), Arai et al.
patent: 6205426 (2001-03-01), Nguyen et al.
patent: 6260014 (2001-07-01), Bahl et al.
patent: 6430551 (2002-08-01), Thelen et al.
patent: 6681206 (2004-01-01), Gorin et al.
patent: 6728674 (2004-04-01), Griniasty
patent: 6799162 (2004-09-01), Goronzy et al.
patent: 6879956 (2005-04-01), Honda et al.
patent: 2002/0087314 (2002-07-01), Fischer et al.
Fabrice Lefevre, Jean-Luc Gauvain, and Lori Lamel, “Towards Task-Independent Speech Recognition,” Proc. 2001 IEEE Int. Conf. Acoust. Speech, Sig. Proc. (ICASSP '01), May 7, 2001-May 11, 2001, vol. 1, pp. 521-524.
Investigating Lightly Supervised Acoustic Model Training, by Lori Lamel et al. 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing May 7-11, 2001, Salt Lake City, UT, USA.
Confidence-Measure-Driven Unsupervised Incremental Adaptation For HMM-Based Speech Recognition, by Delphine Charlet. 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing May 7-11, 2001, Salt Lake City, UT, USA.
Kelly Joseph R.
Microsoft Corporation
Storm Donald L.
Westman Champlin & Kelly P.A.
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