Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2006-10-03
2006-10-03
Lerner, Martin (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S243000, C704S255000
Reexamination Certificate
active
07117153
ABSTRACT:
A method of modeling a speech recognition system includes decoding a speech signal produced from a training text to produce a sequence of predicted speech units. The training text comprises a sequence of actual speech units that is used with the sequence of predicted speech units to form a confusion model. In further embodiments, the confusion model is used to decode a text to identify an error rate that would be expected if the speech recognition system decoded speech based on the text.
REFERENCES:
patent: 4817156 (1989-03-01), Bahl et al.
patent: 5050215 (1991-09-01), Nishimura
patent: 5515475 (1996-05-01), Gupta et al.
patent: 5579436 (1996-11-01), Chou et al.
patent: 5606644 (1997-02-01), Chou et al.
patent: 5737723 (1998-04-01), Riley et al.
patent: 6101241 (2000-08-01), Boyce et al.
patent: 6137863 (2000-10-01), Brown et al.
patent: 6182039 (2001-01-01), Rigazio et al.
patent: 6185530 (2001-02-01), Ittycheriah et al.
patent: 6385579 (2002-05-01), Padmanabhan et al.
patent: 6456969 (2002-09-01), Beyerlein
patent: 6513005 (2003-01-01), Qin et al.
patent: 6611802 (2003-08-01), Lewis et al.
patent: 6622121 (2003-09-01), Crepy et al.
patent: 6684185 (2004-01-01), Junqua et al.
patent: 6711541 (2004-03-01), Kuhn et al.
patent: 6760700 (2004-07-01), Lewis et al.
patent: 6859774 (2005-02-01), Mangu et al.
patent: 6912498 (2005-06-01), Stevens et al.
patent: 7013276 (2006-03-01), Bickley et al.
patent: 2001/0056345 (2001-12-01), Guedalia
patent: 2002/0032549 (2002-03-01), Axelrod et al.
patent: 2004/0049386 (2004-03-01), Niemoeller
patent: 2006/0074664 (2006-04-01), Lam et al.
Printz, et al., “Theory and Practice of Acoustic Confusability,” Proceeding of the ISCA ITRW ASR2000, pp. 77-84, Paris, France (Sep. 18-20, 2000).
Cremelie et al., “In Search of Better Pronunciation Models for Speech Recognition,” Speech Communication 29, pp. 115-136 (1999).
Ristad et al., “Learning String Edit Distance,” IEEE Trans. PAMI, pp. 1-33 (1997).
Y. Deng et al., “Estimating Speech Recognition Error Rate Without Acoustic Text Data,” 8thEuropean Conference on Speech Communication and Technology, Eurospeech, 2003.
A. Nakamura, “Predicting Speech Recognition Performance,” 5thEuropean Conference on Speech Communication and Technology, Eurospeech, 1997.
M. Siu et al., “Improved Estimation, Evaluation and Applications of Confidence Measures for Speech Recognition,” 5thEuropean Conference on Speech Communication and Technology, Eurospeech 1997.
G. Doggington, Phonetically Sensitive Discriminants for Improved Speech Recognition, International Conference of Acoustics, Speech and Signal Processing, ICASSP 1989.
Acero Alejandro
Chelba Ciprian
Deng Yonggang
Gunawardana Asela J. R.
Mahajan Milind
Lerner Martin
Magee Theodore M.
Microsoft Corporation
Westman Champlin & Kelly P.A.
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