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How speaker tongue and name source language affect the automatic recognition of spoken names.

, , and . INTERSPEECH, page 2995-2998. ISCA, (2009)

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Improving proper name recognition by means of automatically learned pronunciation variants., , and . Speech Commun., 54 (3): 321-340 (2012)A minimum classification error approach to pronunciation variation modeling of non-native proper names., , , and . INTERSPEECH, page 2282-2285. ISCA, (2010)Analysis Of A FCFS Queue With Two Types Of Customers And Order-Dependent Service Times., , , , and . ECMS, page 551-557. European Council for Modeling and Simulation, (2014)An improved two-stage mixed language model approach for handling out-of-vocabulary words in large vocabulary continuous speech recognition., , and . Comput. Speech Lang., 28 (1): 141-162 (2014)Impact of class clustering in a multiclass FCFS queue with order-dependent service times., , , , and . Comput. Oper. Res., (2014)Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon., , and . LREC, European Language Resources Association, (2010)Lexical Modeling for Proper name Recognition in Autonomata Too., , , , and . Essential Speech and Language Technology for Dutch, Springer, (2013)How speaker tongue and name source language affect the automatic recognition of spoken names., , and . INTERSPEECH, page 2995-2998. ISCA, (2009)Pronunciation-based ASR for names., , and . INTERSPEECH, page 2991-2994. ISCA, (2009)