Subword unit posterior probability for measuring confidence

Details Subword unit posterior probability for measuring confidence Subword unit posterior probability for measuring confidence

2011-02-15

2011-02-15

Hudspeth, David R. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S009000, C704S010000, C704S231000, C704S255000

Reexamination Certificate

active

07890325

ABSTRACT:
Speech recognition such as command and control speech recognition generally use a context free grammar to constrain the decoding process. Word or subword background model are constructed to repopulate dynamic hypothesis space, especially when word spareness is at issue. The background models can be later used in speech recognition. During speech recognition, background and conventional context free grammar decoding are used to measure confidence. The discussion above is merely provided for general background information and is not intended to be used as an aid in determining the scope of the claimed subject matter.

REFERENCES:
patent: 5477451 (1995-12-01), Brown et al.
patent: 5640490 (1997-06-01), Hansen et al.
patent: 5768603 (1998-06-01), Brown et al.
patent: 5805832 (1998-09-01), Brown et al.
patent: 6442524 (2002-08-01), Ecker et al.
patent: 6662158 (2003-12-01), Hon et al.
patent: 6687339 (2004-02-01), Martin
patent: 6694296 (2004-02-01), Alleva et al.
patent: 7149688 (2006-12-01), Schalkwyk
patent: 7401019 (2008-07-01), Seide et al.
patent: 7447635 (2008-11-01), Konopka et al.
patent: 2002/0116190 (2002-08-01), Rockenbeck et al.
patent: 2002/0198713 (2002-12-01), Franz et al.
patent: 2005/0159953 (2005-07-01), Seide et al.
patent: 2007/0033002 (2007-02-01), Dymetman et al.
patent: 2008/0059188 (2008-03-01), Konopka et al.
H. Jiang. “Confidence measures for speech recognition: a survey”,Speech Communication, 45(4): 455-470, 2005.
M. C. Benitez, A. Rubio and A. Torre, “Different confidence measures for word verification in speech recognition”,Speech Communication, 32(1-2):79-94, 2000.
R. C. Rose, B.-H. Juang and C.-H. Lee, “A training procedure for verifying string hypothesis in continuous speech recognition”,Proc. ICASSP 1995: 281-284, 1995.
F. Wessel, R. Schluter, K. Macherey and H. Ney, “Confidence measures for large vocabulary continuous speech recognition”,IEEE Trans. Speech and Audio Proc., 9(3):288-298, 2001.
Use of Acoustic Prior Informatin for Confidence Measure in ASR Applications (2001) Erhan Mengusoglu, Christophe Ris, Eurospeech 2001, Scandinavia.
S. J. Young, N. H. Russell and J. H. S. Thornton,Token passing: a simple conceptual model for connected speech recognition systems, Technical Report, Dept. Engineering, Cambride University, Jul. 31, 1989.
W. K. Lo, F. K. Soong and S. Nakamura, “Generalized posterior probability for minimizing verification errors at subword, word and sentence levels”,Proc. ISCSLP 2004:13-16, Hong Kong, Dec. 2004.
C.H.Lee, “Statistical Confidence Measures And Their Applications”,Proc. ICSP 2001, Daejeon, Korea, Aug. 2001.

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