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Researcher identifiers

  • IdHAL : laurent-besacier

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7

Publications of Laurent Besacier


2019   

Journal articles2 documents

  • O. Zennaki, N. Semmar, Laurent Besacier. A neural approach for inducing multilingual resources and natural language processing tools for low-resource languages. Natural Language Engineering, Cambridge University Press (CUP), 2019, 25 (01), pp.43-67. ⟨10.1017/S1351324918000293⟩. ⟨hal-01976297⟩
  • Zied Elloumi, Benjamin Lecouteux, Olivier Galibert, Laurent Besacier. Prédiction de performance des systèmes de reconnaissance automatique de la parole à l'aide de réseaux de neurones convolutifs. Traitement Automatique des Langues, ATALA, A paraître. ⟨hal-01976284⟩

Conference papers3 documents

  • Laurent Besacier, Elodie Gauthier, Sylvie Voisin. LESSONS LEARNED AFTER DEVELOPMENT AND USE OF A DATA COLLECTION APP FOR LANGUAGE DOCUMENTATION (LIG-AIKUMA). International Congress of Phonetic Sciences ICPhS 2019, Aug 2019, Melbourne, Australia. ⟨hal-02264418⟩
  • William Havard, Jean-Pierre Chevrot, Laurent Besacier. MODELS OF VISUALLY GROUNDED SPEECH SIGNAL PAY ATTENTION TO NOUNS: A BILINGUAL EXPERIMENT ON ENGLISH AND JAPANESE. IEEE ICASSP 2019, May 2019, Brighton, United Kingdom. ⟨hal-02193872⟩
  • Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier. Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings. Interspeech 2019, Sep 2019, Graz, Austria. ⟨hal-02193867⟩

Preprints, Working Papers, ...1 document

  • William Havard, Jean-Pierre Chevrot, Laurent Besacier. MODELS OF VISUALLY GROUNDED SPEECH SIGNAL PAY ATTENTION TO NOUNS: A BILINGUAL EXPERIMENT ON ENGLISH AND JAPANESE. 2019. ⟨hal-02013984⟩

Reports1 document

  • Zied Elloumi, Olivier Galibert, Benjamin Lecouteux, Laurent Besacier. INVESTIGATING ROBUSTNESS OF A DEEP ASR PERFORMANCE PREDICTION SYSTEM. [Research Report] LIG lab; LNE. 2019. ⟨hal-02131931⟩