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41
Noisy constrained maximum-likelihood linear regression for noise-robust speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 2, 315-325
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42
Extended VTS for noise-robust speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 4, 733-743
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43
Discriminative classifiers with adaptive kernels for noise robust speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 4, 648-662
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44
Unsupervised training and directed manual transcription for LVCSR
In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 7, 652-663
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45
Combining derivative and parametric kernels for speaker verification
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 4, 748-757
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46
Directed decision trees for generating complementary systems
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 3, 284-295
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47
Automatic speech and speaker recognition : large margin and kernel methods
Grangier, David; Bach, Francis R.; Crammer, Koby. - Chichester : Wiley, 2009
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UB Frankfurt Linguistik
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48
Issues with uncertainty decoding for noise robust automatic speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 4, 265-277
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49
Discriminative semi-parametric trajectory model for speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 21 (2007) 4, 669-687
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50
Bayesian adaptive inference and adaptive training
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 6, 1932-1943
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51
Automatic model complexity control using marginalized discriminative growth functions
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 4, 1414-1424
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52
Product of Gaussians for speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 20 (2006) 1, 22-40
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53
Minimum phone error training of precision matrix models
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 3, 882-889
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54
Discriminative cluster adaptive training
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 5, 1694-1703
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55
Progress in the CU-HTK broadcast news transcription system
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 5, 1513-1525
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56
Automatic transcription of conversational telephone speech
In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 13 (2005) 6, 1173-1185
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57
Factor analysed hidden Markov models for speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 2, 181-200
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58
Transformation streams and the HMM error model
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 16 (2002) 2, 225-243
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59
Automatic transcription on Broadcast News data
Pallett, David S. (Hrsg.); Lamel, Lori (Hrsg.); Graff, David (Mitarb.)...
In: Speech communication. - Amsterdam [u.a.] : Elsevier 37 (2002) 1-2, 1-160
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60
Maximum likelihood linear transformations for HMM-based speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 12 (1998) 2, 75-98
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