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Document Level Semantic Context for Retrieving OOV Proper Names2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Mar 2016, Shanghai, China. pp.6050-6054, ⟨10.1109/ICASSP.2016.7472839⟩
Communication dans un congrès
hal-01331716v1
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Dynamic adjustment of language models for automatic speech recognition using word similarityIEEE Workshop on Spoken Language Technology (SLT 2016), Dec 2016, San Diego, CA, United States
Communication dans un congrès
hal-01384365v1
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Exploiting Semantic and Topic Context to Improve Recognition of Proper Names in Diachronic Audio DocumentsHuman-Computer Interaction [cs.HC]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0260⟩
Thèse
tel-01534608v3
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Study of Entity-Topic Models for OOV Proper Name RetrievalInterspeech 2015, Sep 2015, Dresden, Germany
Communication dans un congrès
hal-01184955v1
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Out-of-Vocabulary Word Probability Estimation using RNN Language Model8th Language & Technology Conference, Nov 2017, Poznan, Poland
Communication dans un congrès
hal-01623784v1
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