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1
Building compact recognizers of handwritten Chinese characters using precision constrained Gaussian model, minimum classification error training and parameter compression
In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 14 (2011) 3, 255-262
BLLDB
OLC Linguistik
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2
A feature compensation approach using high-order vector Taylor series approximation of an explicit distortion model for noisy speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 8, 2285-2293
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OLC Linguistik
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3
A study of minimum classification error (MCE) linear regression for supervised adaptation of MCE-trained continuous-density hidden Markov models
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 2, 478-488
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4
Chinese spoken language processing : 5th international symposium ; proceedings
Huo, Qiang [Mitwirkender]. - 2006
DNB Subject Category Language
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5
Chinese spoken language processing : 5th international symposium ; proceedings
Huo, Qiang [Herausgeber]. - 2006
DNB Subject Category Language
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6
An environment-compensated minimum classification error training approach based on stochastic vector mapping
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 6, 2147-2155
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OLC Linguistik
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7
Pattern recognition in speech and language processing
Wright, Jeremy H. (Mitarb.); Och, Franz Joseph (Mitarb.); Abella, Alicia (Mitarb.). - Boca Raton [u.a.] : CRC Press, 2003
BLLDB
UB Frankfurt Linguistik
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8
Robust speech recognition based on adaptive classification and decision strategies
In: Speech communication. - Amsterdam [u.a.] : Elsevier 34 (2001) 1, 175-194
OLC Linguistik
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9
Improving Viterbi Bayesian predictive classification via sequential Bayesian learning in robust speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 28 (1999) 4, 313-326
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10
A study on the use of bi-directional contextual dependence in Markov random field-based acoustic modelling for speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 10 (1996) 2, 95-105
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