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1
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 30-42
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OLC Linguistik
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2
A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 3, 389-405
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OLC Linguistik
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3
A novel framework and training algorithm for variable-parameter hidden Markov models
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 7, 1348-1360
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OLC Linguistik
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4
Large-margin minimum classification error training: a theoretical risk minimization perspective
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 22 (2008) 4, 415-429
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OLC Linguistik
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5
Adaptive Kalman filtering and smoothing for tracking vocal tract resonances using a continuous-valued hidden dynamic model
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 1, 13-23
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6
Training wideband acoustic models using mixed-bandwidth training data for speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 1, 235-245
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7
Adaptation of maximum entropy capitalizer: little data can help a lot
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 20 (2006) 4, 382-399
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OLC Linguistik
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8
A lattice search technique for a long-contextual-span hidden trajectory model of speech
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 9, 1214-1226
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9
Spoken language processing : a guide to theory, algorithm, and system development
Hon, Hsiao-Wuen; Acero, Alex; Huang, Xuedong. - Upper Saddle River, N. J. : Prentice Hall, 2001
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UB Frankfurt Linguistik
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