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1
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs ...
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2
Stereo hidden Markov modeling for noise robust speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 2, 407-419
OLC Linguistik
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3
Stereo-based stochastic mapping for robust speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 7, 1325-1334
BLLDB
OLC Linguistik
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4
Joint morphological-lexical language modeling for processing morphologically rich languages with application to dialectal Arabic
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 7, 1330-1339
BLLDB
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5
Statistical analysis of minimum classification error learning for Gaussian and hidden Markov model classifiers
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 8, 2405-2417
BLLDB
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6
Comments on vocal tract length normalization equals linear transformation in cepstral space
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 5, 1731-1732
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7
IBM MASTOR SYSTEM: Multilingual Automatic Speech-to-speech Translator
In: DTIC (2006)
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8
A new verification-based fast-match for large vocabulary continuous speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 13 (2005) 4, 546-553
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9
Environment normalization training and environment adaptation using mixture stochastic trajectory model
In: Speech communication. - Amsterdam [u.a.] : Elsevier 26 (1998) 4, 245-258
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10
Estimation of mixtures of stochastic dynamic trajectories : application to continuous speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 10 (1996) 1, 23-36
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