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1
Hierarchical joint learning for natural language generation
Dethlefs, Nina. - [Amsterdam] [u.a.] : IOS Press[u.a.], 2013
BLLDB
UB Frankfurt Linguistik
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2
Speech recognition-synthesis system for Amharic : a unified HMM based approach
Yitagessu Birhanu Gebremedhin. - Dresden : TUDpress, 2013
BLLDB
UB Frankfurt Linguistik
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3
Improving Graphemebased ASR by Probabilistic Lexical Modeling Approach
In: http://publications.idiap.ch/downloads/papers/2013/Rasipuram_INTERSPEECH_2013.pdf (2013)
BASE
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4
MODELING APPROACH
In: http://publications.idiap.ch/downloads/reports/2013/Rasipuram_Idiap-RR-14-2013.pdf (2013)
BASE
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5
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
BLLDB
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6
基於LCS演算法之視素分群 ; Viseme clustering based on LCS algorithm
BASE
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7
Automatic phonetic-unit selection and modelling techniques for forensic voice comparison ...
Huang, Chee Cheun. - : UNSW Sydney, 2013
BASE
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8
Using Synchronized Audio Mapping to Predict Velar and Pharyngeal Wall Locations during Dynamic MRI Sequences
Rahimian, Pooya. - : East Carolina University, 2013
BASE
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9
Automatic phonetic-unit selection and modelling techniques for forensic voice comparison
Huang, Chee Cheun, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW. - : University of New South Wales. Electrical Engineering & Telecommunications, 2013
BASE
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10
Visualizing speech production with a hidden Markov model tracker to aid speech therapy and communication
Jain, Pooja. - 2013
BASE
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