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Combined Systems for Automatic Phonetic Transcription of Proper Nouns.

, , , , and . LREC, European Language Resources Association, (2008)

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Automatic Detection of Well Recognized Words in Automatic Speech Transcriptions., , , and . LREC, page 793-798. European Language Resources Association (ELRA), (2006)Adaptive fusion of acoustic and visual sources for automatic speech recognition., and . Speech Commun., 26 (1-2): 149-161 (1998)Speech synthesis by structured segments, using temporal decomposition and a glottal excitation., , and . EUROSPEECH, page 2183-2186. ISCA, (1989)Continuous visual speech recognition using geometric lip-shape models and neural networks., and . EUROSPEECH, page 1999-2002. ISCA, (1997)LIUM English-to-French spoken language translation system and the Vecsys/LIUM automatic speech recognition system for Italian language for IWSLT 2014., , , , , , , and . IWSLT (Evaluation Campaign), (2014)Adaptive determination of audio and visual weights for automatic speech recognition., , and . AVSP, page 61-64. ISCA, (1997)Quel type de systèmes utiliser pour la transcription automatique du français ? Les HMM font de la résistance (What system for the automatic transcription of French in audiovisual broadcasts ?)., and . JEP-TALN-RECITAL (1), page 154-162. ATALA et AFCP, (2020)LIUM and CRIM ASR System Combination for the REPERE Evaluation Campaign., , , , , and . TSD, volume 8655 of Lecture Notes in Computer Science, page 441-448. Springer, (2014)TED-LIUM: an Automatic Speech Recognition dedicated corpus., , and . LREC, page 125-129. European Language Resources Association (ELRA), (2012)Improving recognition of proper nouns in ASR through generating and filtering phonetic transcriptions., , and . Comput. Speech Lang., 28 (4): 979-996 (2014)