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1
Continual Learning for Monolingual End-to-End Automatic Speech Recognition ...
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2
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch ...
Poncelet, Jakob; Van hamme, Hugo. - : arXiv, 2021
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3
Pre-training for low resource speech-to-intent applications ...
Wang, Pu; Van hamme, Hugo. - : arXiv, 2021
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4
Analysis of memory in LSTM-RNNs for source separation ...
Zegers, Jeroen; Van hamme, Hugo. - : arXiv, 2020
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5
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models ...
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6
Fast vocabulary acquisition in an NMF-based self-learning vocal user interface
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 4, 997-1017
OLC Linguistik
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7
Joint training of non-negative Tucker decomposition and discrete density hidden Markov models
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 4, 969-988
OLC Linguistik
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8
Rapid speaker adaptation in latent speaker space with non-negative matrix factorization
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 9, 893-908
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9
Joint training of non-negative Tucker decomposition and discrete density hidden Markov models
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 4, 969-988
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10
Advances in missing feature techniques for robust large-vocabulary continuous speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 1, 123-137
BLLDB
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11
Automatic voice onset time estimation from reassignment spectra
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 12, 1194-1205
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12
Developing a reading tutor: design and evaluation of dedicated speech recognition and synthesis modules
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 10, 985-994
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13
Unsupervised learning of time-frequency patches as a noise-robust representation of speech
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 11, 1124-1138
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OLC Linguistik
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14
Automatic voice onset time estimation from reassignment spectra
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 12, 1194-1205
OLC Linguistik
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15
Unsupervised learning of time-frequency patches as a noise-robust representation of speech
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00558636 ; Speech Communication, Elsevier : North-Holland, 2009, 51 (11), pp.1124. ⟨10.1016/j.specom.2009.05.003⟩ (2009)
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16
Model-based feature enhancement with uncertainty decoding for noise robust ASR
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 11, 1502-1514
OLC Linguistik
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17
Robustness issues for conversational interaction
Milner, Ben (Hrsg.); Wellekens, Christian (Hrsg.); Lindberg, Børge (Hrsg.). - Amsterdam [u.a.] : Elsevier, 2006
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